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Designing Sustainable Supply Chain Networks Zhong Hua Zhang A Thesis In The Department of Concordia Institute for Information Systems Engineering (CIISE) Presented in Partial Fulfillment of the Requirements for the Degree of Master of Applied Science (Quality Systems Engineering) at Concordia University Montreal, Quebec, Canada March 2011 © Zhong Hua Zhang, 2011

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Page 1: Designing Sustainable Supply Chain Networks · 2011-04-11 · Designing Sustainable Supply Chain Networks Zhong Hua Zhang A Thesis In The Department of Concordia Institute for Information

 

Designing Sustainable Supply Chain Networks

Zhong Hua Zhang

A Thesis

In

The Department

of

Concordia Institute for Information Systems Engineering (CIISE)

Presented in Partial Fulfillment of the Requirements

for the Degree of Master of Applied Science (Quality Systems Engineering) at Concordia

University

Montreal, Quebec, Canada

March 2011

© Zhong Hua Zhang, 2011

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CONCORDIA UNIVERSITY

School of Graduate Studies

This is to certify that the thesis prepared

By: Zhong Hua Zhang

Entitled: Designing Sustainable Supply Chain Networks

and submitted in partial fulfillment of the requirements for the degree of

Master of Applied Science (Quality Systems Engineering)

complies with the regulations of the University and meets the accepted standards with

respect to originality and quality.

Signed by the final examining committee: Dr. Jamal Bentahar Chair Dr. Navneet Vidyarthi External Examiner Dr. Simon Li Internal Examiner Dr. Anjali Awasthi Supervisor Approved by Dr. Mourad Debbabi

Chair of Department or Graduate Program Director

20 Dr. Robin Drew

Dean of Faculty

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ABSTRACT

Designing Sustainable Supply Chain Networks

Zhong Hua Zhang

Supply chains have grown tremendously in recent years and focusing only on the

economic performance to optimize the costs or return on investments (ROIs) cannot

alone sustain the development of supply chain operations. The impact of different

activities involved in supply chains such as the process of manufacturing, warehousing,

distributing etc. on environment and social life of city residents cannot be ignored.

Correspondingly, the concepts of green supply chain management (GSCM) and

sustainable supply chain management (SSCM) have emerged which emphasize the

importance of implementing environment and social concerns along with economical

factors in supply chain planning. Other perspectives from the management domain insist

that for sustainability, supply chain management should strive for enterprise governance,

business regulations, corporate responsibilities, and social justice.

In this thesis, we study the problem of designing sustainable supply chain networks.

This involves reviewing state-of-the-art concepts for planning sustainable supply chains,

capturing customer and technical requirements using Voice of the Customer (VOC),

investigating the relationship between customer requirements and technical requirements

using Sustainable Function Deployment (SFD) and finally designing sustainable supply

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chain networks by transmitting the weighted technical requirements obtained from SFD

into an integer programming model. AIMMS software is used to implement this model.

The proposed approach is novel and deals with the important problem of designing

supply chain networks to achieve sustainability from socio-economic-environmental

perspective. The strengths and directions for future work are presented using SWOT

analysis.

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I dedicate this work

to my always loving family,

my patient parents,

my lovely son,

and my devoted wife.

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Acknowledgements

The work accomplished in this thesis is accredited to the meticulous instruction,

sincere proposition, and the patient supervision by my thesis supervisor Dr. Anjali

Awasthi. I thank her for steering me through my thesis researches. Her erudite

scholarship and fertile academic thoughts guided me to achieve the knowledge on the

research methodologies used in this thesis. With her suggestions, I have enhanced my

research abilities. I would never forget or undermine the efforts and energy she has

invested in me.

I would also like to acknowledge my friend Beibei. She has helped improve my

English proficiency and corrected the thesis writings. I thank my other friends for helping

me without intending to help; for encouraging me without intending to encourage; for

suggesting me without intending to suggest and for their unconditional support towards

preparation of this thesis.

I would like to thank my always-loving wife. She devotes me constant and

wholehearted support and takes care of our three-year old kid when I am conducting the

research. With her selfless dedication for our family, I could have the time and the energy

to devote myself fully to research activities. Without her consolation on spirit, I would

not sustain the tedious and tough exploration on my thesis work.

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Table of Contents

List of Figures .................................................................................................................................. x

List of Tables ................................................................................................................................. xii

List of Acronyms .......................................................................................................................... xiv

Chapter 1 .......................................................................................................................................... 1

Introduction ...................................................................................................................................... 1

1.1 Background ......................................................................................................................... 1

1.1.1 The Supply Chain (SC) ................................................................................................ 1

1.1.2 Supply Chain Management .......................................................................................... 3

1.1.3 Supply Chain Network Design (SCND) ...................................................................... 5

1.2 Motivation ........................................................................................................................... 6

1.3 Contribution ........................................................................................................................ 7

1.4 Research Plan ...................................................................................................................... 7

1.5 Thesis Structure .................................................................................................................. 8

Chapter 2 ........................................................................................................................................ 10

Problem Statement ......................................................................................................................... 10

Chapter 3 ........................................................................................................................................ 11

Solution Approach ......................................................................................................................... 11

Chapter 4 ........................................................................................................................................ 14

Systematic Literature Review ........................................................................................................ 14

4.1 Method Description .......................................................................................................... 14

4.2 Data Collection ................................................................................................................. 15

4.3 Literature Analysis ............................................................................................................ 18

4.3.1 Evolution of Supply Chain Management ................................................................... 18

4.3.1.1 The Horizontal Expansion of Supply Chain Management ...................................... 18

4.3.1.2 The Vertical Expansion of Supply Chain Management .......................................... 20

4.3.2 The Concepts of Sustainable Supply Chain Management ......................................... 21

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4.3.3 Metrics for Assessing Sustainability of Supply Chains ............................................. 23

4.3.3.1 One-dimension Metrics ........................................................................................... 25

4.3.3.2 Two-dimension Metrics .......................................................................................... 27

4.3.3.3 Three-dimension Metrics ........................................................................................ 28

4.3.4 Application Areas ....................................................................................................... 29

4.3.5 Methods for Designing Sustainable Supply Chain Networks .................................... 31

4.3.6 Enablers Vs Barriers to Sustainable Supply Chain Management .............................. 32

4.3.7 State of Sustainable Supply Chain Management in Canada ...................................... 33

Chapter 5 ........................................................................................................................................ 35

Sustainable Function Deployment (SFD) ...................................................................................... 35

5.1 Identifying the Social, Economic and Environmental Factors .......................................... 37

5.2 Voice of Customer (VOC) ................................................................................................ 39

5.2.1 Collecting Customer Requirements ........................................................................... 39

5.2.2 Screening Customer Requirements ............................................................................ 40

5.3 Technical Requirements .................................................................................................... 44

5.3.1 Collecting Technical Requirements ........................................................................... 45

5.3.2 Analyzing Technical Requirements ........................................................................... 48

5.4 Establishing SFD and Evaluating the Weights ................................................................. 51

5.4.1 Relationships between Customer and Technical Requirements ................................. 51

5.4.2 Correlations among Technical Requirements ............................................................ 52

5.4.3 Competitive Assessments ........................................................................................... 53

5.4.4 Weighting Customer and Technical Requirements .................................................... 55

5.5 Contribution of SFD in SSCND........................................................................................ 59

Chapter 6 ........................................................................................................................................ 61

Model Development for SSCND ................................................................................................... 61

6.1 Assumptions ...................................................................................................................... 61

6.2 Mathematical Notations .................................................................................................... 63

6.3 Problem Formulation ........................................................................................................ 67

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6.4 Numerical Example .......................................................................................................... 71

6.5 Scenario Analysis .............................................................................................................. 77

6.5.1 Scenario 1 (Change in Weights of Objective Functions) ........................................... 77

6.5.2 Scenario 2 (Change in Supply Capacities and Customer Demands) .......................... 87

6.5.3 Scenario 3 (Change in Size of the Supply Chain Network) ....................................... 92

Chapter 7 ........................................................................................................................................ 94

Conclusions and Future Work ....................................................................................................... 94

7.1 Summary ........................................................................................................................... 94

7.2 SWOT Analysis ................................................................................................................ 95

7.3 The Future Research ......................................................................................................... 96

References ...................................................................................................................................... 98

Appendix A .................................................................................................................................. 109

Appendix B .................................................................................................................................. 111

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List of Figures

Figure 1.1: Supply Chain Flows ......................................................................................... 2 

Figure 1.2: Plan for conducting thesis research .................................................................. 8 

Figure 3.1: The 3-step integrated solution approach for SSCND ..................................... 11 

Figure 4.1: Distribution of Selected Publications ............................................................. 18 

Figure 4.2: The Framework of SSCM .............................................................................. 22 

Figure 4.3: The Three Base Line of SSCM ...................................................................... 24 

Figure 5.1: Priority Matrix for Analyzing VOCs of SSCM .............................................. 41 

Figure 5.2: Cause-and-Effect Analysis for SSCM Technical Factors ............................... 46 

Figure 5.3: Screening Technical Requirements for SFD .................................................. 48 

Figure 5.4: Relationships between Customer and Technical Requirements ..................... 52 

Figure 5.5: Correlation within Technical Requirements ................................................... 53 

Figure 5.6: Competitive Assessments of Customer and Technical Requirements ............ 54 

Figure 5.7: Priority Analysis for Satisfying Customer Requirements .............................. 56 

Figure 5.8: Weights Analysis in SFD ................................................................................ 57 

Figure 6.1: A Four-stage Supply Chain ............................................................................. 62 

Figure 6.2: Introduction of AIMMS Components ............................................................ 70 

Figure 6.3: The Supply Chain Network for Numerical Example ..................................... 72 

Figure 6.4: Model results from AIMMS ........................................................................... 74 

Figure 6.5: Variable Values for the SSCND Numerical Example ..................................... 75 

Figure 6.6: The Topology of SSCN for the Numerical Example ...................................... 76 

Figure 6.7: Results of Test 1, Scenario 1 .......................................................................... 78 

Figure 6.8: The Topology of SSCN for Test 1, Scenario 1 ............................................... 79 

Figure 6.9: Results for Test 2, Scenario 1 ......................................................................... 80 

Figure 6.10: The Topology of SSCN for Test 2, Scenario 1 ............................................. 81 

Figure 6.11: Results for Test 3, Scenario 1 ....................................................................... 82 

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Figure 6.12: The Topology of SSCN for Test 3, Scenario 1 ............................................. 83 

Figure 6.13: Results of the SSCND for Test 4, Scenario 1 ............................................... 85 

Figure 6.14: The Topology of SSCN for Test 4, Scenario 1 ............................................. 86 

Figure 6.15: Outputs for Test 1, Scenario 2 ...................................................................... 88 

Figure 6.16: The Topology of SSCN for Test 1, Scenario 2 ............................................. 89 

Figure 6.17: Outputs for Test 2, Scenario 2 ...................................................................... 90 

Figure 6.18: The Topology of SSCN for Test 2, Scenario 2 ............................................. 91 

Figure 7.1: Thesis SWOT Analysis ................................................................................... 95 

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List of Tables

Table 4.1: Sources for Information Collection on SSCM ................................................. 17 

Table 4.2: One-dimension Metrics – Economical Benefits .............................................. 25 

Table 4.3: One-dimension Metrics – Environmental Concerns ........................................ 26 

Table 4.4: One-dimension Metrics – Social Performance ................................................ 27 

Table 4.5: Application Areas in SSCM ............................................................................. 30 

Table 4.6: Methods Used in Sustainable SCND ............................................................... 31 

Table 4.7: Enablers for Sustainable Supply Chain Management ...................................... 32 

Table 4.8: Barriers in Sustainable Supply Chain Management ........................................ 33 

Table 5.1: A Strategic Factor Analysis of SSCM .............................................................. 37 

Table 5.2: Requirements from Customer and Stakeholder in SCs .................................... 38 

Table 5.3: Screened Customer Requirements ................................................................... 42 

Table 5.4: Technical Requirements of SSCM Indicated by Respondents ......................... 47 

Table 6.1: Data Input for Stage One: Supplier – Manufacturer ........................................ 72 

Table 6.2: Data Input for Stage Two: Manufacture – Distributor ..................................... 73 

Table 6.3: Data Input for Stage Three: Distributor – Retailer ........................................... 73 

Table 6.4: Data Input for Stage Four: Retailer – Customer .............................................. 73 

Table 6.5: Facility Capacities and Customer Demands .................................................... 74 

Table 6.6: Costs Distribution of SSCND for Numerical Example ................................... 76 

Table 6.7: Weights for Scenario Analysis ......................................................................... 77 

Table 6.8: Costs Distribution for Test 1, Scenario 1 ......................................................... 79 

Table 6.9: Costs Distribution for Test 2, Scenario 1 ......................................................... 81 

Table 6.10: Costs Distribution for Test 3, Scenario 1 ....................................................... 83 

Table 6.11: Order Allocation and SSCND for Test 2 and Test 3, Scenario 1 .................... 84 

Table 6.12: Costs Distribution for Test 4, Scenario 1 ....................................................... 86 

Table 6.13: New Capacities for supply chain facilities ..................................................... 87 

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Table 6.14: Costs Distribution for Test 1, Scenario 2 ....................................................... 89 

Table 6.15: Varying the Demand Data with the Numerical Example to Test the Model .. 90 

Table 6.16: Costs Distribution for Test 2, Scenario2 ........................................................ 92 

Table 6.17: Model results for Test 1-5, Scenario 3 ........................................................... 92 

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List of Acronyms

AHP - Analytical Hierarchy Process

API - Application Program Interface

BSC - Balanced Score Approach

COQ - Cost of Quality

CR - Corporate Responsibility

CSR - Corporate Social Responsibility

DLL - Dynamic Link Library

DP - Dynamic Programming

DS - Decision Support

EDI - Electronic Data Interchange

ERP - Enterprise Resource Planning

GSC - Green Supply Chain

GSCM - Green Supply Chain Management

GUIs - Graphical User Interface

LCA - Life Cycle Analysis

LP - Linear Programming

MIP - Mixed Integer Programming

MIQP - Mixed Integer Quadratic Programming

MRP - Material Requirement Planning

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NLMIP - Nonlinear Mixed Integer Programming

NLP - Nonlinear Programming

QA - Quality Assurance

QC - Quality Control

QFD - Quality Function Deployment

QMS - Quality Management System

RFID - Radio Frequency Identification

ROI - Return on Investment

SC - Supply Chain

SCM - Supply Chain Management

SCN - Supply Chain Network

SCND - Supply Chain Networks Design

SCOR - Supply Chain Operations Reference

SFD - Sustainable Function Deployment

SSC - Sustainable Supply Chain

SSCM - Sustainable Supply Chain Management

SSCN - Sustainable Supply Chain Network

SSCND - Sustainable Supply Chain Networks Design

SWOT - Strengths, Weaknesses, Opportunities, Threats

VOC - Voice of Customer

WEEE - Waste Electrical and Electronic Equipment

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Chapter 1

1 Introduction

1.1 Background

1.1.1 The Supply Chain (SC)

A supply chain is a network consisting of a chain of activities, facilities, people and

other resources directly or indirectly involved in fulfilling goods to customers. This term

came into prominence when Cooper et al. [1] addressed it as the extension of logistics.

Though there is an ambiguity in definition with the term “logistics” and “supply chain

management” [2], over the past decades, SC has emerged as a more prominent topic.

The supply chain not only contains the material suppliers and manufacturers, but also

distributors, retailers, customers and their associated activities (Figure 1.1) whereas

logistics is limited to only people and activities involved in delivery of goods from

facilities to customers. The SCOR supply-chain operations reference model, developed

by the Supply Chain Council describes a common framework of supply chain [3]. The

SCOR model addresses the activities and operations on both the upstream and

downstream sides.

The main objective of supply chain is to satisfy the customer requirements. As

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demonstrated in Figure 1.1, the materials and products flow from raw material suppliers

to final customers. This is the so-called supply flow or value flow across downstream

side. In the upstream side [4], the cash flow occurs when corresponding stakeholders of

supply chains exchange their products or services for some form of payment to satisfy

customer needs [5]. The information flow occurs in both directions and is related to

materials, customer demands, facilities, cash etc.

 

 

 

   

 

 

 

 

 

 

 

 

   

 

Figure 1.1: Supply Chain Flows

The use of Information technology in development of supply chain operations and

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efficiency on both supply and demand sides is becoming more important than ever. The

real-time management of information has been possible with the help of high technology,

facilities and methodologies, such as the web-based system, multi-agent, ERP, EDI, RFID

etc, most of which have been used for improving information exchange within different

business entities [6-9].

A better performance of supply chain can be further obtained by cooperation and

collaboration among various supply chain facilities. It will not only improve the supply

flow, value flow, and information flow, but also the demand flow, reused materials

flow, goods for maintenance flow, and the after sales service flow etc. Depending upon

service or production type of supply chains, additional performance requirements can be

integrated.

1.1.2 Supply Chain Management

Supply chain management is a combination of activities, approaches, and knowledge

utilized to efficiently integrate raw material suppliers, manufacturers, distributors,

retailers, and customers, so that merchandise is produced and distributed in right

quantities, to the right locations, and at the right time while minimizing system-wide

costs and satisfying service level requirements [4]. The SCOR model categorizes the

activities of SCM as plan, source, make, deliver, and return [3]. Additionally deriving

from the definition, these activities can be stratified at strategic, tactical, and operational

levels [10]. The different levels of SCM concern the different decision-makings about the

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source, location, production, inventory, and transportation from a time perspective

(Strategic – Long term, Tactical – Medium term, Operational- Short term). Furthermore,

to reach optimal results, activities such as procurement, capacity planning, technology

adoption, facility operation, production management, schedule planning, material

requirement planning (MRP), distribution planning, inventory management, order

forecasting should also be carefully planned.

Croxton et al. [11] proposed a framework of business processes to achieve high

performance of supply flow, value flow, and the information flow in supply chains. Their

management process framework contains:

1) Customer relationship management

2) Customer service management

3) Demand management

4) Order fulfillment

5) Manufacturing flow management

6) Supplier relationship management

7) Product development and commercialization

8) Returns management

The processes of each facility in the supply chain should be integrated with the

functional activities, such as purchasing, production, logistics, R&D, finance, and

marketing, so as to result in high levels of customer satisfaction, economic returns, low

level of risks and uncertainties in supply chain.

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1.1.3 Supply Chain Network Design (SCND)

The supply chain network design is a strategic level decision that focuses on

identifying, selecting, and coordinating the activities of key suppliers, manufacturers,

distributors, retailers to meet specific demands from customers so that maximal

profits, minimal costs, and optimal resource allocations can be achieved [4, 12, 13].

According to [14], the ultimate goal of designing supply chain networks (SCN) is to

succeed in achieving maximal profits and minimal costs to satisfy customer demands by

delivering the highest quality product or service order fulfillment.

Different objectives can be considered in designing supply chains. The scale of

supply chain network decides the scope of network design. Design of a local supply chain

network may differ from the global one in which there are reasonably more

considerations, and higher complexity among the operations involved. On the operational

level, the elements of network design usually but not only always consider the location

planning of logistics facilities and customer allocation, supplier selection, smart pricing,

order allocation, strategic sourcing, inventory controlling, distribution scheduling, time

periods for delivering, transit route planning, demands fulfilling, etc [15]. The adoption

of multiple criteria and multiple objectives in designing supply chain networks represents

the system-optimization perspective of SCN integration [16, 17].

The mathematical method has dominated the process of SCND, since they are driven

by the nature of the inputs and the objective of study [13]. Four types of models have

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been commonly used [18] namely:

1) Linear vs. nonlinear models, in which if the mathematical models exhibit

linearity they are defined as linear models, otherwise considered nonlinear.

2) Deterministic vs. stochastic analytical models, in which if the variables values

are known and specified it is called deterministic. If at least one of the variable

values is unknown, and is assumed to follow a particular probability distribution,

the model is called as stochastic.

3) Static vs. Dynamic models, in which variables of static models do not change

with time, whereas dynamic models consider the change of variables with the

time sequence.

4) Discrete vs. Continuous, in which the state of variables changes in fixed time

intervals in discrete models whereas they change continuously over time in

continuous models.

1.2 Motivation

Globalization has increased the complexity of supply chains with involvement of

more stakeholders, facilities, and technologies. Thereof, many new challenges and

complexities have emerged in supply chain management [19]. The goal of pursuing

minimal operational costs and maximal ROIs in supply chains has been studied over

decades [20]. Efforts to achieve the optimal balance between environment care and

business performance, or the so-called green supply chain management are fairly new

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and have been studied in [21]. Some researchers with background in public

administration or business management have emphasized on social concerns in SCM [22,

23]. However, studies that endeavor to optimize economic returns, environment concerns,

and the social performance altogether for supply chains are rare. The challenging issues

are how to achieve balance among the business goals, social concerns, and the

environmental impacts of different activities in supply chains. This thesis focuses on the

problem of designing sustainable supply chain networks considering the triple goal of

maximizing economic returns, minimizing environment impacts, and maximizing social

performance for supply chains.

1.3 Contribution

This thesis presents a methodological framework for designing sustainable supply

chains. This involves development of a systematic literature review about SSCM,

extraction of customer and technical requirements using Voice of the Customer (VOC),

investigating relationship between the customer requirements and technical requirements

using Sustainable Function Deployment (SFD) and development of an integer

programming model for sustainable supply chain network design using AIMMS

optimization software [24].

1.4 Research Plan

Figure 1.2 presents the planning steps involved in conducting research for this thesis.

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The first step involves establishing research goals followed by literature review,

identification of methods and techniques for resolving the problems involved, then

conducting the core research using the identified methods, implementation of methods,

experimentation and scenario analysis and finally delivering the results of the study.

Only when all the designed research objectives and methodologies uniformly succeed in

all steps of the proposed plan for conducting this thesis research, the final outputs will be

delivered.

 

Figure 1.2: Plan for conducting thesis research

1.5 Thesis Structure

The rest of the thesis is organized as follows. In Chapter 2, we present the problem

statement.

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Chapter 3 presents our 3-step solution approach for designing sustainable supply

chain networks.

Chapter 4 presents the approaches used for capturing customer and technical

requirements for sustainable supply chain network design. This consists of systematic

literature review and questionnaires development (C-REQ and T-REQ) for listening to

Voice of the Customer (VOC) and identifying customer and technical requirements.

Chapter 5 presents the Sustainable Function Deployment (SFD) approach used for

establishing relationship between customer requirements and technical requirements and

weighting them for designing sustainable supply chains.

Chapter 6 presents the integer programming model used for designing sustainable

supply chain networks.

The conclusions and future work are presented in Chapter 7.

Finally, the references complete the thesis.

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Chapter 2

2 Problem Statement

The goal of this thesis is to develop a modeling framework for designing sustainable

supply chains considering economic, environmental and social objectives. In order to

achieve this goal, following sub-problems will be investigated in this thesis.

1. Identification of social, economic, and environmental factors for developing

sustainable supply chains.

2. Identification of customer and technical requirements based on social, economic

and environmental factors, investigating their intra- and inter-relationships, and

allocation of priorities (ratings) for developing sustainable supply chains.

3. Designing the sustainable supply chain (SCND model) using the weighted

customer requirements, technical requirements, supply and demand constraints,

and other network modeling parameters.

All the above mentioned sub-problems will be addressed step by step in a sequential

manner to achieve the goal of designing sustainable supply chain networks.

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Chapter 3

3 Solution Approach

In Chapter 2, we presented the various sub-problems to be resolved in order to

achieve the goal of designing sustainable supply chain networks. Figure 3.1 presents the

three steps involved in the solution approach.

 

Figure 3.1: The 3-step integrated solution approach for SSCND

In the first step, we identify the economical, environmental, and social factors by

systematic literature review. In the second step, we identify the customer and technical

requirements using Voice of the Customer (VOC), study the relationships, and allocate

weights using Sustainable Function Deployment (SFD). In the third and the last step, we

develop a mathematical programming based model for designing sustainable supply

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chain network using the weighted technical requirements and network modeling

parameters.

The 3-step integrated solution approach for SSCND is presented in detail as follows:

1. Identification of economic, social and technical factors for developing

sustainable supply chains

To identify the economic, social and technical factors for developing sustainable

supply chains, we conducted a systematic literature review. A systematical literature

review is a method to systematically analyze, categorize, and generalize the concepts

and the tendencies in a specific research area by investigating relevant publications.

It is different from the usual literature review, in which researchers summarize the

existing state of art about a particular research topic. Therefore, the common

literature review is not able to deeply identify and analyze the evolution of research

issues, and is not able to discover the research tendency by investigating the

relationships among the issues/topics concerned by researchers. Hence, in this thesis,

systematical literature review is used to identify the three

socio-economic-environmental factors and all other important parameters involved in

designing sustainable supply chains, their relationships with each other and how it

can be exploited to reach the concept of “sustainability” for supply chain

management. Chapter 4 will presents the results obtained from systematic literature

review in detail.

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2. Capturing customer and technical requirements and priority (weights) allocation

Capturing customer and technical requirements for developing sustainable

supply chain networks is very important. We developed questionnaire surveys

C-REQ and T-REQ to collect Voice of the Customer (VOC). To capture the technical

requirements, T-REQ (Appendix B) is used whereas to capture the customer

requirements C-REQ (Appendix A) is used. In order to establish the relationship

between the customer requirements and technical requirements and weigh them, we

propose a technique called Sustainable function deployment (SFD) which is based on

the concept of Quality function deployment (QFD). It has been given the name SFD

since it integrates the three metrics for sustainable supply chain management namely

economic, environmental and social views rather than quality management view.

Chapter 5 presents the details of the proposed SFD approach.

3. Designing sustainable supply chain networks

Once the weighted technical requirements have been obtained from SFD, they

are integrated in the objective function of sustainable supply chain network design.

The sustainable supply chain network design problem consists of identifying the best

configuration of supply chain network considering joint optimization of three

sustainability dimensions (social, economic, and environmental) weighted using SFD

subject to capacity constraints of logistics facilities and demand constraints of

customers. An integer programming model is developed in AIMMS for designing

sustainable supply chain networks. Chapter 6 presents details of the proposed model.

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Chapter 4

4 Systematic Literature Review

4.1 Method Description

A systematic literature review is a method to systematically analyze, categorize, and

generalize the concepts and the tendencies in a specific research area by investigating

relevant publications from wide perspectives, scopes, domains etc. It is used to identify

gaps, issues, and opportunities in a specific research field. The end result of a systematic

literature review is a conceptual model based on existing gaps, available research and

opportunities for future work. Thereof, it helps to identify the contents and guides

towards theory building. It is different from the usual literature review, in which

researchers summarize the existing state of art about a particular research topic. Therefore,

the common literature review is not able to deeply identify and analyze the evolution of

research issues, and is not able to discover the research tendency by investigating

relationships among the issues/topics of concern to researchers. Hence, in this thesis,

systematic literature review is used instead of general literature review.

Meredith [25] illustrated this method in a theoretical way. Easterby-Smith et al. [26]

propose theoretical and practical guidance to do the research with a balance of qualitative

and quantitative methods. Srivastava [27] suggested the following steps in doing

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literature view : 1) Defining unit of analysis, 2) Classification of context, 3) Material

evaluation, and 4) Collecting publications and delimiting the field. Similarly, Seuring et

al. [28] proposed a closed-loop process for conducting literature review, where the

process includes a feedback loop for the analysis of the collected materials.

The objectives of systematic literature review in our thesis are to investigate what is

a “sustainable supply chain”, how does it differs from the traditional supply chain, its

state of application in industries, metrics that can be used to measure it, potential areas of

application, and the methods that can be used to design sustainable supply chain networks

etc. In order to achieve this objective, we will collect and thoroughly analyze research

materials focusing on:

1) Sustainable supply chain management

2) Supply chain network design

3) Sustainable supply chain network design

4) Supply chain optimization

5) Etc..

At the end, we will evaluate and examine these materials along different structural

dimensions.

4.2 Data Collection

Two resources were used to collect materials for systematic literature review. One

was the hardcopy readings, which means published books, references, magazines etc.

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Such materials can be acquired in libraries from many academic institutions. The other

was online search in which relevant material was extracted by conducting electronic

search for the research articles by search engines. Following sources were used for

on-line collection of articles:

• www.sciencedirect.com

• www.emeraldinsight.com

• www.springerlink.com

• www.intescience.wiley.com

• www.ebsco.com

• www.metapress.com

• www.subito-doc.de

• www.scopus.com

The major databases used for searching related articles were major publishers such as

Elsevier, Emerald, Springer, and Wiley. Some library services also provide article search

engines, such as Ebsco, Scopus, Metapress, and Subito etc. To increase the reliability of

data collected from the two sources for our thesis research, the databases, journals,

references as well as the individual papers or books were double checked by a second

researcher.

The key words used for searching the resources were “Sustainable Supply Chain”,

“Greening Supply Chain (GSC)”, “Supply Chain Optimization”, “Supply Chain

Networks Design”, “Supply Chain Management”, “Sustainable Supply Chain

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Management” etc., However, compared to on-line resources, the amount of researched

materials from hardcopy publications was limited.

Table 4.1: Sources for Information Collection on SSCM

Reading Resources Number of Literatures

Business Strategy and the Environment 10

Journal of Cleaner Production 9

Supply Chain Management: An International Journal 5

Journal of Supply Chain Management 2

International Journal of Production Economics 10

International Journal of Production Research 4

Corporate Social Responsibility and Environmental Management 3

International Journal of Logistics Management 3

IEEE Transactions 3

Transportation Research Part E: Logistics and Transportation Review 2

Logistics Information Management 2

International Journal of Operations & Production Management 4

Conference Papers 1

Government Publications 3

Other Journals (one paper from each other journal) 31

Books 14

Online Materials 7

Magazine 1

Graduate Thesis 1

The basic body of literature was identified from 115 publications. Table 4.1 shows

the allocation of the publications along with their relevant sources. The number of total

cited readings from each resource is shown in the second column of Table 4.1. It can be

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seen in Table 4.1 that the body of literature covers not only specialized supply chain

journals but also general popular management journals. Furthermore, the distribution of

publications for 2005-2010 is provided in Figure 4.1.

27

36

3

11

14

21

17

13

0

5

10

15

20

25

30

Before 2003

2003 2004 2005 2006 2007 2008 2009 2010

 

Figure 4.1: Distribution of Selected Publications

(2005 – 2010) 

4.3 Literature Analysis

4.3.1 Evolution of Supply Chain Management

4.3.1.1 The Horizontal Expansion of Supply Chain Management

In the 1980s, the term “Supply Chain Management” was mentioned by Oliver and

Webber [29] to integrate the critical business process to satisfy the customer demands.

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Cooper et al. [1], Porter [30], Mentzer et al. [10], and Mouritsen et al. [31] provide a

conceptual framework and operating details for SCM. They emphasize the fact that SCM

has significantly evolved from the “internalization” of processes and activities to the

“externalization” of performance measurement in the field of operations management.

This new trend of SCM has been accelerated mainly by the requirements of information

technology, business collaboration, and the globalization.

Hence, research on SCM has evolved from its core concerns on logistics, operations,

processes, and facilities to the integration of theoretical concepts, strategic planning,

industrial management, cost-based economics efforts, inter-organizational relationships,

intellectual knowledge management and systems scheme. This indicates that the general

scope of SCM has stepped over the boundaries of physical, functional, and legal issues in

companies [16]. The SCM focus is not only on supply-buy activities between some

business entities, but also on management of the chains across organizations, regions,

industries, cultures [32, 33]. Thus, researchers started to work on new areas such as

investigating the influence of environmental practices in supply chain management also

called as greening the supply chain [34-36]. Some others tried to discover how social

factors affect the operations of supply chains, together with economic and environmental

issues. This field of research has come to be known as the sustainable supply chain

management (SSCM) [37, 38]. Although the name GSCM and SSCM are not strictly

coined, the contents of SSCM have horizontally expanded from economic concerns to

environment care, and social activities [39, 40].

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4.3.1.2 The Vertical Expansion of Supply Chain Management

The previous section discussed the complexity of supply chain networks from the

point of view of horizontal expansion. In this section, we discuss the vertical expansion

of supply chains that amplified further the research scope and the research domains

involved. The vertical expansion involves increase in the number of organizational units

involved at different stages of the supply chain to meet ever growing customer demand.

According to the illustrations of Croom [41]:

…… domain of supply chain management does not concentrate solely on the

single function or firm as the unit of analysis, but takes a broader view across

interacting and interdependent functions, groups and organizations …….

The inclusion of multi-organizations increases the layers of supply chains. Hence,

researchers such as Porter [42] and Feller et al. [5] focused on multi-stage facilities of

supply chains and associated flows. These are the so-called multi-echelon supply chain

networks. Some other researchers investigated how to minimize the influences between

the upper and lower stages [43]; the activities to strengthen information exchange

between upstream and downstream [8]; and the processes to efficiently supply and source

in each facilities [44-46].

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4.3.2 The Concepts of Sustainable Supply Chain Management

There are many discussions on the definitions of SSCM. Linton et al. [39] reviewed

the definitions of “sustainability” and proposed that the SSCM should satisfy the

relationship, in which

…… anthropology, political science, psychology and sociology interact with the

natural sciences and are interpreted and managed through the development of

policy ……

Piplani et al. [47] proposed the scope of SSCM in terms of economic, non-economic,

environment, especially including social responsibility of supply chains. Other

researchers also illustrated the SSCM from three aspects to achieve the balance among

financial returns, social performance, and environment concerns [28, 48, 49].

In traditional supply chains, the goal is to balance the benefits among multi

stakeholders, improve the operating efficiency throughout the facilities, and maximize the

profitability of processes and activities. However, in sustainable supply chains (SSC)

consideration of environment concerns and social responsibilities along with economic

gains are of top priority.Figure 4.2 presents the conceptual model we developed based on

systematic literature review. It can be seen from Figure 4.2 that the scope of sustainable

supply chain management (SSCM) is no more limited to individual objectives of

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economic, social or environmental dimension, but towards their integration in all

operations throughout multi-echelon supply chains [17].

 

Figure 4.2: The Framework of SSCM

Integrated with external factors and internal processes and activities, the operations

of SSCM should focus on the balance among three objectives:

1) Maximal benefits or financial returns

2) Minimal environmental impacts

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3) Meeting the social requirements

4.3.3 Metrics for Assessing Sustainability of Supply Chains

Metrics are used for evaluating the performance of supply chains. Lapide [50]

proposes five types of metrics namely 1) Function-based, 2) Process-based, 3)

Cross-enterprise, 4) Numerical, and 5) Alignment of executive to management level.

Gunasekarana et al. [51, 52] proposed metrics to evaluate the order planning, supply link,

production level, delivery link, customer service, and logistics cost etc. at strategic,

tactical, and operational levels in traditional supply chains. Brewe [53] suggested an

innovative method to evaluate supply chains using quality-oriented, time-based,

flexibility-oriented, and cost-based measures. Beamon [54] discussed the use of resources,

outputs, and flexibility as the metrics. Shepherd [55] proposed measurements in line

with SCOR model, in which metrics should be established as plan, source, make, deliver,

and return.

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Figure 4.3: The Three Base Line of SSCM

(Adapted from [56, 57])

According to the descriptions in section 4.3.2, the measurements of SSCM will be

more meaningful if based on the scope of functions, activities, and processes, and the

benefits of stakeholders. Therefore, in this thesis we will measure the “sustainability” of

supply chain at the strategic level. Figure 4.3 presents a multi-dimensional view for

measuring the sustainability of supply chains. Using Figure 4.3, multi-dimension metrics

will be derived from the three base lines (Social, Economic, and Environmental) to

measure the “sustainability” of SCM. The one-dimension metrics are from each one of

three base lines. The two-dimension metrics are the combinations between any two of the

three base lines. They can be used to evaluate the degree of operations, processes, and

activities integration in sustainability in supply chains. The three-dimension metrics also

called as sustainable metrics consider will consider three base lines altogether at a time.

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4.3.3.1 One-dimension Metrics

One-dimension metric is the first level, in which only one baseline factor is used at a

time to evaluate the performance of SSCM. There are three kinds of one-dimension

metrics:

1) Economic dimension

2) Environmental dimension

3) Social dimension

Table 4.2: One-dimension Metrics – Economical Benefits

Economical Metric Factor Literature

Order planning Order entry, lead time, order patch, cycle time, etc. [51, 52]

Operation/Management Operation on the strategic, tactical, or operational level [51, 52]

Supply link Supplier evaluation, supply capacity, etc. [51, 52]

Production evaluation Scheduling, capacity, quality, techniques, etc. [51, 52, 58]

Delivery performance Flexibility, order fulfillment, least faultiness [51-53, 55]

Costs Logistics, supply, inventory, transaction, etc. [51-54, 59]

ROI Revenue, profits, tax payment [51, 53, 54]

Information sharing Technology, system, equipment, flow, process, etc. [52, 53, 60]

Business co-operation Collaboration, globalization, QMS, work to standards [52, 60-63]

Customer service Process time, query time, [52, 53]

BSC Balanced Score Approach [64, 65]

Table 4.2 presents the indicators for the one-dimension metric based on the

Economic dimension. These indicators apply on the strategic, tactical, and operational

levels and consider function-based, process-based, cost-based, time-based, quality-based,

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and management-based aspects of supply chain management.

Table 4.3: One-dimension Metrics – Environmental Concerns

Environmental Metric Factor Literature

Waste processing Waste reducing, recycling, reusing [34, 53, 66-68]

Natural resources protect, conserve, utilize, regenerate [40, 58, 62, 66, 68, 69]

Pollution controlling Water, air, transportation pollution [35, 36, 40, 66]

Emission preventing Gas, fluid, chemical, emission trade [35, 36, 66, 70]

Policy Public pressure on environment, [63, 66, 71]

Legislation Act on environment protection [34, 59, 66]

Management/Operation EMS, ISO, LCA, technology, collaborate, monitor [36, 60, 63, 66, 72-76]

Biodiversity Natural species diversity, [60, 62, 69]

Energy saving Save the energy either in natural or renewable [35, 68]

Table 4.3 presents indicators for the one-dimension metric based on Environmental

Dimension. For example, waste processing, natural resources, pollution control etc.

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Table 4.4 presents the indicators for the one-dimension metric based on the social

dimension. For example, equity, safety, ethics etc.

Table 4.4: One-dimension Metrics – Social Performance

Social Metric Factor Literature

Customer benefits Service level, satisfaction, flexibility, [51, 53-55]

Reputation Quality, CR outcomes, code of conduct, brand name [23, 38, 53, 54, 77-80]

Ethics/Moral For public health, safety, transparency [22, 23, 68, 76-78, 81]

Legislative Act, law, legislation responsibility, [23, 68, 71, 77]

Equity Income, political, economic, social fairness, right [59, 76, 82]

Trust Interpersonal trust, brand trust, [62, 79, 80]

Culture respect Respect culture in local, [62]

Safety Product safety, consumer safety [59, 62, 76]

Public benefits Welfare, training, work condition, quality of life [62, 68, 76, 83]

Social relationship Collaboration, Community, stakeholder [22, 40, 68, 74, 84, 85]

Social standards SA 8000, AA 100, OECD Guidelines etc. [73]

4.3.3.2 Two-dimension Metrics

The two-dimension metrics consider two baseline measures at a time (Figure 4.3).

There are three kinds of two-dimensional metrics namely valuable, equitable, or

reputable (Figure 4.3).

1) The valuable sustainable supply chain management

When supply chains consider both economic benefits and environment concerns, the

performance of SSCM is termed valuable. The factors related with the two-dimension

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metrics are the combinations of the factors listed in Table 4.2 and Table 4.3. Supply

chains can have specific objectives to attain valuable performance by concentrating on

various combinations of economical and environmental factors. In literature, examples of

valuable SSCM can be found in [53, 58-60, 62, 63].

2) The equitable sustainable supply chain management

The equitable performance involves consideration of environmental and social

baseline factors. To achieve the equitable performance for SSCM, the operations and

managerial activities should focus on integration of different factors listed in Table 4.3

and Table 4.4 respectively. Research on practices of equitable SSCM can be found in

[40, 53, 59, 62, 68, 71, 73, 76].

3) The reputable sustainable supply chain management

The reputable SSCM considers the economical and social baseline factors. To

succeed in reputable performance for a specific SSCM, it is not obligatory to consider all

the factors listed in Table 4.2 and Table 4.4, only certain combinations are enough. In

literature, the examples of reputable SSCM can be found in [51, 53-55, 59, 62].

4.3.3.3 Three-dimension Metrics

The highest level of SSCM performance is said to be “sustainable”, which is

achieved when the three requirements of sustainability, that is, the economical,

environmental, and social performance are achieved at the same time. The different needs

of SSCM decide the specific objectives to be reached for attaining sustainability.

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Accordingly, all or part of the various indicators or factors listed in Table 4.2, Table 4.3,

and Table 4.4 can be considered for achieving the sustainability objective. Some

examples of sustainable supply chain management can be found in [53, 59, 62, 68, 85].

4.3.4 Application Areas

Table 4.5 presents the various industry/sectors where sustainable supply chain has

been applied.

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Table 4.5: Application Areas in SSCM

Industry or Sector Application of SSCM Level Ref.

Agriculture/Environment Agriculture materials production

Agriculture fresh product supply

Forest, wood supply

Equitable

Sustainable

Economical

[62]

[40]

[8]

Chemical/Material The rubber and plastics production

Aluminum manufacturing

SSCM of concrete products in construction

Sustainable

Valuable

Sustainable

[85]

[35]

[68]

General Manufacturing Green manufacturing (economical), LCA Valuable [75, 86]

Green manufacturing (social) Equitable [71]

Food/Medical Food production, supply

Food supply, production, and sales

Green purchasing

Social

Equitable

Reputable

[23, 80, 84]

[62]

[77]

Machinery/Equipment Automotive production

Electrical and electronic product LCA

EMS (ISO 14001) in automotive industry

Equitable

Environmental

Environmental

[60]

[34]

[72]

Consuming/Retail Toys production

Package printing

Retail and consumer product goods

Social

Environmental

Valuable

[23]

[36]

[87]

Transportation/Logistics Air transportation

Greening logistics and transportation

Greening supply, source

Valuable

Valuable

Reputable

[70]

[74, 88]

[77]

Electricity/Electronics Telecommunication, electronics production

WEEE SC planning, reverse logistics

Consumer electronics design, production

Social

Valuable

Valuable

[23, 78]

[67]

[45]

Information/Service Design social welfare chain

E-commerce

Green supply and source planning

Social

Economical

Reputable

[83]

[6]

[77]

Apparel/Textile Garments, sportswear, footwear production Social [23, 78]

Fashion retail industry LCA Sustainable [59]

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4.3.5 Methods for Designing Sustainable Supply Chain Networks

Table 4.6 lists the most commonly used methods for designing sustainable supply

chain networks. This includes mathematical modeling, optimization, empirical analysis

etc.

Table 4.6: Methods Used in Sustainable SCND

Method Description Application Ref.

Mathematical Model Linear programming (LP)

Dynamic programming (DP)

Nonlinear programming (NP)

Mixed Integer Linear Programming

Service chains and food chains

Ecommerce supply, source

Optimize supply and source

Design valuable, reputable SCNs

[83, 89]

[6]

[12]

[90, 91]

Optimization Multi-objective programming

Multi-criteria optimization

System dynamics (SD) methodology

Multi-objective optimization

fuzzy goal programming approach

WEEE SC, valuable SCND

LCA design, equitable SCN

Sustainable SCND

Design a sustainable SCN

Multi-criteria & multi-objective

[67, 92]

[75, 93-95]

[34, 96]

[96, 97]

[98]

Simulation Emission trade scheme influence SCM Transportation [70]

IT Application Information sharing, internet application Material supply [8]

Stochastic Model Stochastic dynamic programming model

Stochastic programming approach

Consumer electronics

Design equitable SCNs

[45]

[99]

Heuristic Model Model energy, cost, allocation with time Aluminum production [35]

SPC Analysis Hypothesis testing, statistic analysis Package printing, sourcing [36, 77]

Empirical Analysis Questionnaire surveying and analysis Manufacturing [71, 72, 86]

Survey, case study Planning, source, supply in retail [59, 78, 87]

Survey, case study Transportation, Logistics [74, 88]

Conceptual Analysis The theoretical analysis for SCND Design a (valuable) green SCN [62, 66]

Case-based for sustainable SCND Planning sustainable SCN [100]

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4.3.6 Enablers Vs Barriers to Sustainable Supply Chain Management

Table 4.7 presents the enablers for sustainable supply chain management. Many

literatures indicate that internal and external pressures drive the supply chains towards

environmental, social and economical performance. Legislation pressure, market needs,

government pressures, competitive advantages, collaboration requirements etc. are the

main external enablers to practice SSCM. In addition, managerial drivers, costs pressures

etc. are the internal enablers of supply chains.

Table 4.7: Enablers for Sustainable Supply Chain Management

Enabler Literatures Remarks Legislation [28, 67, 71, 101] Legislation from social and environmental concerns

Pressures from stakeholders [23, 63, 71, 74] High performance of SSCM to achieve their benefits

Consumer concern towards SSCM [28, 101, 102] Customer and market pressure for implementing SSCM

Information Sharing [102] Efficient information sharing and communication

Collaborative relationships [28, 102, 103] Supplier integration, reduce risks among supplier-buyer

Government pressures [104] Pressures from government requirements for SSCM

High cost of energy, logistics etc. [86-88] Least costs will reach a part of economical SSCM

Competitive advantage [28, 86-88, 105] A higher competitive has a higher SSCM performance

Desire to be a leader [86-88] Best-in-class, best-in-best is the highest performance

Compliance in product/service [87] Satisfy customer needs, and establish brand reputation

Access to foreign markets [87] Globalization & collaboration reach higher performance

Table 4.8 presents the barriers in sustainable supply chain management. The

performance of SSCM is negatively influence by the presence of barriers, such as high

investments, expenses, requirements of intellectuals, and so on. Some researchers also

emphasize that the limited awareness among the stakeholders of SC also slows down the

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performance of SSCM.

Table 4.8: Barriers in Sustainable Supply Chain Management

Barriers Literatures Remarks Crisis-oriented management [81] Difficult to reach multi risks control

Cost-oriented management [28, 74, 81, 101] High costs for SSCM in environmental, social, economic efforts

Coordination complexity [28] Difficult to reach results for multi-objective within stakeholders

Supplier obstacle [71, 101] Lack of sustainable suppliers from upstream

Internal obstacle [28, 71, 101, 105] Lack of internal process, regulation, policy etc. to support SSCM

Lack of understanding SSCM [105] Lack of how to incorporate SSCM among stakeholders

Lack expertise [23] No enough expertise to support SSCM in wide scope operations

Lack budget [23] Limited budgets for SMEs

Outdated technology [23] Lack of innovations, state-of-the-art technologies

Limited awareness [23, 74, 105] Difficult to reach the accordance of SSCM in management

4.3.7 State of Sustainable Supply Chain Management in Canada

Due to the predominance of forest and wood industry in Canada, researchers are

focusing on reducing the bullwhip effects in wood supply chains to attain economical

benefits. An example is the Quebec Wood Supply Game [8]. However, this application is

only able to achieve the economical performance but not the environmental and social

performance in supply chains.

For green supply chain management, economical and environmental performance for

equitable level is discussed in [36]. In addition, researchers investigated the practice of

implementing SSCM on waste electrical and electronic equipment (WEEE) industry in

[67]. The deliverable is a model that addresses the legislation, environment concerns, and

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the economical objectives. In 2009, Industry Canada proposed a series of publications

[86-88] that report the practice of GSCM in manufacturing, retail, and

logistics/transportation industry. These publications present the current situation,

practices, and drivers for sustainable supply chain management in both manufacturing

and service sectors.

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Chapter 5

5 Sustainable Function Deployment (SFD)

In this chapter, we propose a technique called Sustainable Function Deployment

(SFD) developed on the concept of Quality Function Deployment (QFD) to establish the

relationship between customer and technical requirements and prioritize them for

developing sustainable supply chains. The quality function deployment (QFD) approach,

also called the House of Quality, developed by Dr. Yoji Akao [106] is used to listen and

integrate the voice of customer (VOC) with the designed features of products or services.

Implementation of QFD requires eight steps [107] which are described as follows:

1) Develop a list of customer requirements collected from both internal and

external customers for designing quality goals.

2) Develop a list of technical requirements to design elements or features for

quality.

3) Demonstrate the relationships between the customer requirements and technical

requirements.

4) Identify the inter- and intra-relationships among the technical and customer

requirements within technical requirements itself for developing the roof in the

QFD house.

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5) Perform a competitive assessment of the customer requirements and technical

requirements.

6) Prioritize customer requirements considering their importance, target value,

effect on sales, and generate absolute weight.

7) Prioritize technical requirements based on the degree of difficulty, target value,

and calculate absolute weights, and relative weights.

8) Analysis of absolute and relative weights to determine quality goals or features

based on the design inputs from customer needs.

The customer requirements for SFD are obtained through questionnaire surveys

(Voice of the Customer) and technical requirements are obtained from systematic

literature review. In addition, priority matrix and cause-and-effect diagram techniques are

applied to screen the customer and technical requirements for designing sustainable

supply chains. The weighting of customer and technical requirements is another purpose

of developing these techniques.

In order to reach a sustainable performance, researchers should not only focus on

improving economical benefits, but also satisfying environmental and social requirements.

The current situation of research on SSCM focuses more on the one-dimension and

two-dimension level. However, to reach “sustainable” SCM on the three-dimension level

is worthy of exploring and is the focus of our research in this thesis.

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5.1 Identifying the Social, Economic and Environmental Factors

Before developing the SFD, we identify the social, economic, and environmental

factors required to develop a basic understanding of sustainable supply chains. This will

be achieved in two tasks. The first task intends to identify, analyze, and generalize the

factors, which will influence the performance of SSCM. The second task performs an

analysis of SSCM requirements, which decide the direction of improving SSCM

performance.

Table 5.1: A Strategic Factor Analysis of SSCM

Economical Factor Environmental Factor Social Factor

Cost and expense Environment operation Customer satisfaction

Business profit Natural resource protection Stakeholder satisfaction

Technology Application Resource utilization and regeneration Social equity

Business expansion Waste recycling Public benefits

Enterprise globalization Emission control Business trust and reputation

Process collaboration Pollution elimination and prevention Legal compliance and ethics

Business operation Environment policy and legislation Culture protection

In section 4.3.3, we presented the metrics for assessing the performance of

sustainable supply chains (Table 4.2, Table 4.3, and Table 4.4). In those selected readings,

researchers emphasized that the degree of improving the performance of those

metrics/factors will positively influence the performance of SCM. Although different

levels of SSCM performance can be achieved, the sustainable one should involve the

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crucial factors for improving economical benefits, environmental concerns, and social

performance. Table 5.1 summarizes the factors on the strategic level.

In order to improve the overall performance of sustainable supply chains, customers

and stakeholders’ requirements should also be taken into account besides considering

technical factors. Using the analysis of enablers and barriers of SSCM in section 4.3.6,

we identified the customer requirements and stakeholder requirements. Table 5.2

categorizes these requirements from both the internal, external customer and stakeholder

point of view for supply chains.

Table 5.2: Requirements from Customer and Stakeholder in SCs

Internal Customer External Customer Internal Stakeholder External Stakeholder

High employee benefits Consumer safety Competitive advantage Best returns on investing

Efficient communication Consumer health Good to be a leader Good in public benefits

Effective work processes Compliance in product Good for globalization Legislation compliance

Human rights protection Best in service Good for collaboration Good in public safety

Least work pressures Least costs on product Least operation costs Good for public health

Safe in work environment Good for social diversity

The strategic factors (Table 5.1) integrated with the customer requirements (Table 5.2)

provide the basic infrastructure for developing SFD.

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5.2 Voice of Customer (VOC)

Voice of customer is a technique used for collecting customer requirements through

questionnaires, personal interviews, field studies etc. In the thesis, we will use VOC to

collect the customer preferences and requirements for designing sustainable supply chain

networks. Thereafter, the collected preferences will be screened by the degree of benefits

to be achieved in terms of the efforts to be devoted.

5.2.1 Collecting Customer Requirements

Design of sustainable supply chain networks is highly dependent on the customer

requirements whose satisfaction degree decides the level of performance achieved in

SSCM. There are several ways to collect the VOC [108-110], however, in this research,

questionnaire survey study with the employees in all stages of the supply chain is

suggested. We designed a questionnaire (C-REQ) based on the outputs of systematic

literature review in section 4.3. The details of the questionnaire survey can be found in

Appendix A. To design the questions in our survey, we used the factors summarized in

Table 5.2. A total of twelve questionnaires were distributed, and responses were received

for all of them (five students, two faculty members, and other five full time employees

working for different companies in the field of supply chains).

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5.2.2 Screening Customer Requirements

After obtaining customer requirements from the VOC, the next issue is how to

process them. Are all VOCs able to be satisfied [111]? Are there any risks in fulfilling the

VOC [112]? Schwalbe [113] suggested a risk management method to fulfill the customer

requirements. In addition, is there any pre-defined sequence to implement the VOCs

[114]?

In this thesis, based on the requirements from customers and stakeholders of

sustainable supply chains, a priority matrix (Figure 5.1) is developed in terms of the

potential benefits to achieve and the efforts to be devoted for planning sustainable supply

chains. In Figure 5.1, the VOC is defined as the combination of customer demands and

the requirements from stakeholders in SSCM. The priority matrix indicates the

relationship between the efforts to invest on satisfying VOCs and the benefits achieved

by those practices. Consequently, the data collected from questionnaires is represented on

Figure 5.1 in terms of final scores where each final score for the impact and effort is the

average of the feedbacks from the respondents.

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 Figure 5.1: Priority Matrix for Analyzing VOCs of SSCM

The customer requirements with high priority levels (in terms of impact) in Figure

5.1 are listed in Table 5.3.

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Table 5.3: Screened Customer Requirements

Screened Customer Requirements Impact Level Effort Level

Efficient communication within facilities in supply chains 9.7 1.4

Effective work processes within facilities in supply chains 9.8 2.2

Employee rights protection throughout the supply chains 8.9 2.3

Protect the safety while employees are working 6.5 1.2

Assure consumer safety while they consume products/services 8.3 1.4

Protect consumer health while they consume products/services 8.4 2.4

Provide the compliance in products/services as claimed 8.6 1.3

Minimize the cost of clients consuming products/services 6.8 2.4

Minimize managerial or operations costs throughout supply chains 9.5 2.9

Comply with the legislations on economic, environment, and society 9.6 2.6

Ideally all the VOCs are important to improve the performance of SSCM, though

practically it is difficult to adopt all of them together or implement them in one-step. In

Table 5.3, we choose those customer requirements that are located within “Do it now”

area, where the impact level is from 5.0 to 10.0 and the effort level is from 1.0 to 5.0.

After screening the VOCs from the matrix in Table 5.3, the following customer

requirements are the first ones to be satisfied:

1) Efficient communication within facilities in supply chains

This category of customer requirements concentrates on improving the

performance of information sharing, data exchange, communication technology

application, business collaboration, equipment or system innovation etc.

2) Effective work processes within facilities in supply chains

This requirement includes implementing standards for work, improving product

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and/or service quality, order fulfillment rate, handling product returns, business

process management, supply management, source management, after sales

service, risk management in processes etc.

3) Employee rights protection throughout the supply chains

This requirement includes customer concerns such as human rights, work rights,

right to quality for life, training, welfares, employee benefits etc.

4) Protect the safety while employees are working

This requirement includes safety concerns for employees during work such as

good working environment, safety control during working etc.

5) Assure consumer safety while they consume products/services

This requirement includes safety concerns for customers during consumption of

products or services, that is, they should not be dangerous or explosive and

should satisfy the consumers’ safety requirements.

6) Protect consumer health while they consume products/services

This requirement includes consumer health protection which means the products

or services should be harmless to consumers upon consumption for example

avoiding the use of lead in child toys etc.

7) Provide the compliance in products/services as claimed

Customers expect that the products or services have consistent function,

characters, price etc. as the companies advertise or claim, therefore, the products

or services should not be changed without official declaration.

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8) Minimize the cost of clients for consuming products/services

Clients always welcome lower costs for spending on products or services with

the same function or characteristics. They sometimes even expect more functions

and characters within the same price if there are competitions in the market.

9) Minimize managerial or operational costs throughout supply chains

The internal customers of a supply chain, especially managers, are always

making efforts to reduce costs and expenses through all processes and operations

of supply chains. External customers such as buyers of products or services also

prefer products or services with reduced costs or expenses.

10) Comply with the legislations on economic, environment, and society

The clients who consume the products or services expect the processes of

production, services to be legal in terms of following economic regulations,

environment legislations, social acts etc. Other customers, such as government

(who is the customer of social activities or organizational activities) also expect

all activities to be legal.

5.3 Technical Requirements

This part of research will collect the technical requirements by conducting

questionnaire surveys (Appendix B) with people at managerial, technical and supervisory

levels in supply chain. The collected technical requirements will then be analyzed to

identify areas for improving the performance of sustainable supply chains.

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5.3.1 Collecting Technical Requirements

In order to collect technical requirements, we developed a questionnaire survey

(T-REQ) based on the concept of SERVQUAL [107]. SERVQUAL has been used in

many situations, especially in service quality assessment.

Based on the technical factors summarized in Table 5.1, T-REQ (Appendix B) was

designed for surveying managerial and professional people in the supply chain and

collecting their thoughts on what technical factors should be considered in improving the

performance of SSCM, investigating their relationships with each other and with

customer requirements.

Figure 5.2 illustrates a cause-and-effect diagram developed through brainstorming to

analyze all the technical requirements for improving the performance of SSCM. It can be

seen in Figure 5.2 that there are three main factors namely the economical factors, the

environmental factors, and the social factors. Besides, certain uncertainties may also exist

in sustainable supply chains.

Using the results of the cause-and-effect diagram and the questionnaire survey, we

acquired information on technical requirements that are most important in SSCM, the

ones to be implemented, relationship between them, their competitive level with respect

to traditional supply chains etc.

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Figure 5.2: Cause-and-Effect Analysis for SSCM Technical Factors

Although there exist different technical requirements for different stages in supply

chains, in our research we will concentrate on the general technical requirements for

SSCND. That is, strategic planning of SSCND is the main objective rather than solving

an operational SSCND problem. Hence, the data are representatively collected from the

professionals researching and instructing in the areas of SCM, instead of surveying from

a group of managerial people in a supply chain. Four out of four respondents have

indicated their feedbacks in surveys. The data collected is shown in Table 5.4.

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Table 5.4: Technical Requirements of SSCM Indicated by Respondents

Technical Requirements EXP. PER.

Economical Factors

E1: Costs and expenses control 8.25 7.50

E2: Reach the high business profitability 9.00 8.50

E3: Widely apply new technology and integrated systems 7.25 6.00

E4: Efficient business process management, activity operations 8.75 6.50

E5: Apply the optimization techniques or methodologies in SCs 6.75 4.50

E6: Collaborative operations among facilities in SCs 8.50 9.50

Environmental Factors

N1: Good environment operation, such as pollution and waste prevention 9.25 7.25

N2: High efforts in utilizing natural resources, such as mining, exploring 8.25 2.00

N3: High efforts in conserving natural resources 7.25 1.75

N4: High efforts of natural resource regeneration, such as reuse 9.25 1.00

N5: Effective energy utilization, such as fossil energy, bio energy 8.25 0.75

N6: High efforts of planning and conducting environment policy 4.75 4.25

N7: High compliance in environment legislations 3.75 9.00

Social Factors

S1: High satisfaction of customers and business partners in SCs 7.75 8.00

S2: High efforts to manage business trust and reputation, as product compliance 7.75 9.00

S3: High efforts in the social equity, such as salary, work load 8.00 4.00

S4: High efforts in public benefits, such as provide training, welfare 8.50 4.25

S5: High efforts in culture protection, such as respect personal culture habits 2.75 8.00

S6: High efforts in business ethics and moral attempts 4.50 7.00

Uncertainty Factors

U1: Natural environment decides the performance of SSCM 0.50 6.00

U2: The politics satisfaction decides the performance of SSCM 2.25 1.50

U3: The religion situation decides the performance of SSCM 0.25 1.00

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5.3.2 Analyzing Technical Requirements

The data collected from the questionnaire survey T-REQ is shown in Table 5.4. The

index “EXP.” means the “Expectation” level, or the expected degree of performance of

the relevant technical factor for SSCM. Similarly, the index “PER.” means the

“Perception” level, or the perceived degree of performance with respect to the chosen

technical factor for SSCM. Each number for “EXP.” and “PER.” in Table 5.4 is the

average of total scores by the evaluations from four respondents for the different

questions of T-REQ survey (Appendix B).

 Figure 5.3: Screening Technical Requirements for SFD

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Figure 5.3 presents a graphical illustration of the technical factors data obtained from

Table 5.4. All the technical factors with “EXP.” levels higher than the average level (EXP

= 5) are considered important and used in SFD for designing sustainable supply chain

networks. The details of these factors are presented as follows:

1) Cost control

This design attribute includes E1 and E2. That is, the cost factor is one of crucial

elements that affect the performance of SSCM. The costs refer to operational

costs, product costs, managerial expenses, tax, and so on. Hence, “Cost control”

is a general indicator for all the cost-based technical requirements.

2) New technology application and innovation

This factor derived from E3, which means new technology is one of crucial

factors to improve the performance of SSCM such as ERP system, EMS system,

RFID, OA, and so on.

3) Operation processes and procedures optimization

This category generalizes E4, E5, and E6. It emphasizes that the methodologies,

techniques, new knowledge of SC operations will highly impact the performance

of SSCM. Furthermore, collaboration will become more and more important for

SSCM.

4) Environmental operations

Environmental operations indicate the technical requirement N1. This factor

denotes that effectively managing the activities and processes, such as pollution

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prevention, emission control, waste recycling etc. will positively impact the

performance of SSCM.

5) Natural resource utilization, regeneration, and reservation

This factor contains N2, N3, and N4. There are many topics in this category,

such as natural resource exploration, mining, recycling bio species conservation,

and so on. Effective and efficient implementation of these factors will positively

affect the performance of SSCM.

6) Energy utilization and regeneration

This technical requirement about energy utilization and regeneration indicates

N5, which includes how to improve the efficiency of energy utilization, how to

achieve energy regeneration, how to save the energy, etc.

7) Improve service level for customers and business partners

This technical factor implies the matters of S1 namely improving the customer

service level and the satisfactions of stakeholders in SC such as reducing the

order processing and delivery time, reducing the risks from suppliers and so on.

8) Improve business trust and reputation operations

This factor, namely, S2 is concentrating on improving business trust,

interpersonal trust, product brand reputation etc to improve the performance of

SSCM. This can be achieved through methods or techniques such as quality in

product design, compliance in product and services, best-in-class program,

best-in-best program, and so on.

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9) Efforts for improving public benefits and social equity

This factor includes S3 and S4, in which public safety, public health, training,

social rights, economic equity, quality of life etc are emphasized for improving

the performance of SSCM.

5.4 Establishing SFD and Evaluating the Weights

This section will establish the SFD. Based on the results of surveys C-REQ and

T-REQ, the SFD will integrate the customer requirements with technical requirements to

show their relationships and generate weights or ratings for each of them.

5.4.1 Relationships between Customer and Technical Requirements

Figure 5.4 shows the customer and technical requirements obtained from sections 5.1

and 5.2. The interrelationships between them are presented on a 3-level scale in the center

matrix enclosed between the customer and technical requirements. The number 9

represents high level of correlation, 3 medium, and 1 means a low level of correlation.

Responses from four professional respondents were used to obtain the relationships

between customer requirements and technical requirements.

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Figure 5.4: Relationships between Customer and Technical Requirements  

5.4.2 Correlations among Technical Requirements

The responses from the questionnaire T-REQ (Appendix B) provided the

intercorrelations between the technical requirements presented in the roof of Figure 5.5. A

six level scale (+9 (Strong positive), +5 (Positive), +1 (Weak positive), -1 (Weak

Negative), -5(Negative), -9 (Strong Negative)) was used.

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Figure 5.5: Correlation within Technical Requirements  

5.4.3 Competitive Assessments

The competitive assessment for four types of supply chains namely Sustainable,

Equitable, Reputable, Valuable (Chapter 4) was done from both customer requirements

and technical requirements perspective. It can be seen in Figure 5.6 that based on the

competitive assessments, sustainable supply chain management has overall higher

performance than reputable, equitable, and valuable supply chains. The reason is that

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SSCM considers not only one aspect to improve such as reaching economic benefits,

satisfying environmental concerns, or fulfilling social performance, but all of them

together to optimize the total performance of supply chain. Other types of supply chains

only achieve partial successes when compared with SSCM on these three dimensions.

 

Figure 5.6: Competitive Assessments of Customer and Technical Requirements

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In Figure 5.6, for the same customer requirements and technical requirements in a

supply chain, the competitive assessments show that the sustainable supply chain

management has higher total performance than reputable supply chain management,

equitable supply chain management, and valuable supply chain management. The reason

is that SSCM considers not only one aspect to improve economic benefits, satisfy

environmental concerns, or fulfill social performance, but integrates all three factors

together to optimize the total performance of supply chains. Thus, other types of supply

chains only achieve partial successes when compared with SSCM.

5.4.4 Weighting Customer and Technical Requirements

Figure 5.1 showed the priority allocations for customer requirements in terms of

impacts and efforts. To establish their weights in SFD, we developed a priority analysis

matrix (Figure 5.7). It can be seen in Figure 5.7 that the impacts (Y-axis) and efforts

(X-axis) are categorized into five-levels. To obtain the priority numbers, we divide the

“Do it now” area into nine partitions, in which the priority level ranges from the highest

(No. nine) to the lowest (No. one). After this standardization, the customer requirements

are represented on the priority analysis matrix on a scale of 1-9. The customer

requirements located in the “Do it now” area are high priority requirements.

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Figure 5.7: Priority Analysis for Satisfying Customer Requirements

In Figure 5.8, the SFD table integrates all the numerical relationships between the

customer and technical requirements. The priority level in the SFD table for customer

requirements is based on the priority ratings by customer (Figure 5.7). Using these

numerical values, we generate priority weights for customer and technical requirements.

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Three key points that should be considered in performing these calculations are:

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Comply with legislations on economic, environment, and society

Efficient communication within facilities in supply chains

Effective work processes within facilities in supply chains

Employee rights protection throughout the supply chains

Protect the safety while employees are working

Assure consumer safety while they consume products/services

Protect consumer health while they consume products/services

Provide the compliance in products/services as claimed

Minimal cost of clients consuming products/services

Minimal managerial or operation costs throughout supply chains

Computing Absolute Weight:

Computing Absolute Weight:

Computing Relative Weight:

Sums1366

26156

Intercorrelations

Symbols

S = Sustainable supply chain managementR = Reputable supply chain managementE = Equitable supply chain managementV = Valuable supply chain management

Economic Environment Social 

Figure 5.8: Weights Analysis in SFD

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1) Calculation of absolute weights for customer requirements.

This takes into account the impact level, effort level and priority level for each

customer requirement. To fulfill a customer requirement, it should have a higher

priority level and a lower effort level. The priority sequence of actions to fulfill

customer requirements is in terms of their absolute weights from a higher level

to the lower level. These absolute weights have considered the priorities of

impacts and efforts. Therefore, to calculate the absolute weight of each customer

requirement, we propose the highest effort level (five) minus its current effort

level. This method will obviously magnify the values and differentiate priorities

for satisfying customer requirements.

2) Calculation of absolute weights of technical requirements.

This is based on the relationships of technical requirements with customer

requirements and the impact levels of customer requirements. A technical

requirement with a higher score of absolute weight has higher priority to be

adopted as a key factor for improving the performance of SSCM. However, the

absolute weights partially demonstrate the importance degrees of technical

requirements to the performance of SSCM since only impact levels of customer

requirements are used.

3) Calculation of relative weight of technical requirements.

This considers the priority levels of customer requirements and the numerical

relationships between technical requirements and customer requirements in

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calculations. The relative weights constructively indicate the priority sequence to

adopt technical factors to improve the performance of SSCM.

It can be seen from the results of Figure 5.8 that the relative weights of economic

factors is 0.493, 0.118 for environmental factors, and 0.388 for social factors. That means,

based on the results of our surveys, economic factor is more important followed by social

and environmental categories. Please note our goal in this section is to demonstrate the

utility of SFD in weighting customer and technical requirements. The results obtained

from SFD are highly dependent on the ratings provided in C-REQ and T-REQ, therefore,

the selection of number of respondents, their familiarity with the subject and experience

with SSCM should be carefully evaluated before launching the questionnaire surveys.

5.5 Contribution of SFD in SSCND

The sustainable supply chain network design is a strategic decision that integrates the

objectives of economic benefits, environment concerns, and social requirements to

achieve sustainable performance in processes, activities, and operations throughout the

supply chain. Using the SFD analysis, we were able to integrate the Economical,

Environmental and Social dimensions altogether. Variables addressing these dimensions

from customer requirements and technical requirements point of view were studied in

detail. Their interrelationships were analyzed to finally generate priority scores for both

customer (absolute requirements) and technical requirements (relative weights) which

will be used in prioritizing different objectives in the mathematical programming model

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for designing sustainable supply chain network in the next stage of our thesis.

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Chapter 6

6 Model Development for SSCND

6.1 Assumptions

Based on the framework described in section 5.5, three main factors are considered

in SSCND namely “economical benefits”, “environmental concerns”, and “social needs”.

Each of these factors has different weights. We will mathematically represent these

factors in terms of costs namely social, economic and environmental costs for different

stages of the supply chain. Before developing the mathematical model, following

assumptions are used:

1. The supply involves four stages (Figure 6.1).

1) Stage one: Supplier – Manufacturer

2) Stage two: Manufacturer – Distributor or Wholesaler

3) Stage three: Distributor – Retailer

4) Stage four: Retailer – Customer

The facilities involved in the different stages of the supply chain are manufacturing

units, warehouses, distribution platforms, retail stores etc.

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Figure 6.1: A Four-stage Supply Chain

2. All the facilities at different stages of the supply chain (Figure 6.1) are

interconnected to each other. For example, each supplier is connected to all the

manufacturing units and vice versa. This implies that the raw material can be

procured from any of the suppliers for any manufacturer (subject to capacity and

demand restrictions); all manufacturers are eligible to supply semi-finished products

to distributors or wholesaler; all distributors for finished products supply to any of

the retailers; and finally all retailers can supply package products to customers.

3. It is possible to have different weights for economical, environmental and social

costs at different stages in supply chains. In Chapter 5, we showed different weights

0.493:0.118:0.388 for economical benefits, environmental concerns, and social needs.

This ratio was derived from the results of surveying the customers and managerial

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people throughout the supply chains. In this thesis, the modeler assumes that the

ratios are the same for different stages of the supply chains. However, specific

managerial requirements may require usage of different ratios for different stages of

supply chain.

4. In our model, the Bill of Material involves the usage of 1:1 ratio of products at any

stage until final delivery to customer. This implies one unit of finished product

involves usage of one unit and one kind of semi-finished materials that again requires

usage of one type of raw material only. In reality, several raw materials may be

required to achieve at a finished product, however, we have kept the 1:1 product

usage ratio to avoid computational complexity arising from complex BOM in our

model that already is computationally challenging considering the three objectives

and size of the supply chain network.

6.2 Mathematical Notations

Sets

S - Set of raw material suppliers

M - Set of manufacturers

D - Set of distributors

R - Set of retailers

C - Set of customers

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Parameters

• Number of suppliers to be selected

Ns= Total number of raw material suppliers

Nm= Total number of manufacturers

Nd = Total number of distributors

Nr = Total number of retailers

• Weights of the three objectives

ecw = Weight of economical costs

enw = Weight of environmental costs

sow = Weight of social costs

• Facility opening costs

siCl = Facility opening cost for the raw material supplier i ; Si ∈

mjCl = Facility opening cost for the manufacturer j ; Mj ∈

dkCl = Facility opening cost for the distributor k ; Dk ∈

rlCl = Facility opening cost for the retailer l ; Rl ∈

• Transportation costs

sm

ijCt , = Transportation cost per unit to supply materials from raw material

supplier i to manufacturer j ; MjSi ∈∈ ,

md

jkCt , = Transportation cost per unit to supply semi-finished products from

manufacturer j to distributor k ; DkMj ∈∈ ,

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dr

klCt , = Transportation cost per unit to supply finished products from

distributor k to retailer l ; DkRl ∈∈ ,

rc

lnCt , = Transportation cost per unit to supply assembled products from

retailer l to customer n ; RlCn ∈∈ ,  

• Environmental costs

sm

ijCe , = Environmental cost per unit to supply materials from raw material

supplier i to manufacturer j ; MjSi ∈∈ ,

md

jkCe , = Environmental cost per unit to supply semi-finished products from

manufacturer j to distributor k ; DkMj ∈∈ ,

dr

klCe , = Environmental cost per unit to supply finished products from

distributor k to retailer l ; DkRl ∈∈ ,

rc

lnCe , = Environmental cost per unit to supply assembled products from retailer

l to customer n ; RlCn ∈∈ ,  

•  Social costs

sm

ijCs , = Social cost per unit to supply materials from raw material

supplier i to manufacturer j ; MjSi ∈∈ ,

md

jkCs , = Social cost per unit to supply semi-finished products from

manufacturer j to distributor k ; DkMj ∈∈ ,

dr

klCs , = Social cost per unit to supply finished products from

distributor k to retailer l ; DkRl ∈∈ ,

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rc

lnCs , = Social cost per unit to supply assembled products from retailer l to

customer n ; RlCn ∈∈ ,  

•  Supply capacities

iCps = Raw material supply capacity of supplier i ; Si ∈

jCpm = Semi-finished product supply capacity of manufacturer j ; Mj ∈

kCpd = Finished product supply capacity of distributor k ; Dk ∈

lCpr = Assembled product supply capacity of retailer l ; Rl ∈  

•  Demands from customers

nDem = Finished product demands from the customer n ; Cn ∈

Decision Variables

• Supplier selection (Assuming supplier is different for each stage)

  six = Decision variable to select the raw material supplier i if 1=s

ix ,

else 0; Si ∈

mjx = Decision variable to select the manufacturer j if 1=m

jx , else 0;

Mj ∈

dkx = Decision variable to select the distributor k if 1=d

kx , else 0; Dk ∈

rlx = Decision variable to select the whole seller/retailer l if 1=r

lx , else 0;

Rl ∈  

• Order quantity allocation

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smijq , = Order quantity of raw materials shipped from raw supplier i to

manufacturer j ; MjSi ∈∈ ,

mdjkq , = Order quantity of semi-finished product shipped from manufacturer j

to distributor k ; DkMj ∈∈ ,

drklq , = Order quantity of finished product shipped from distributor k to

retailer l ; RlDk ∈∈ ,

  rclnq , = Order quantity of assembled product shipped from retailer l to

customer n ; CnRl ∈∈ ,

6.3 Problem Formulation

Our mathematical model for sustainable supply chain network design minimizes the

facility selection costs, transportation costs, environmental costs, and social costs, and

performs order quantity allocations for facilities at different stages of the supply chain

considering the demand and capacity constraints. The mathematical description of the

problem is presented as follows:

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Minimize CostsSocialCoststalEnvironmenCostsEconomicalz ++= (6.1)

⎟⎟⎠

⎞⎜⎜⎝

⎛+++= ∑∑∑∑

∈∈∈∈ Rl

rl

rl

Dk

dk

dk

Mj

mj

mj

Si

si

si

ec ClxClxClxClxw

           ⎟⎟⎠

⎞⎜⎜⎝

⎛++++ ∑ ∑∑∑∑∑ ∑∑

∈ ∈ ∈∈ ∈∈ ∈∈Mj Cn Rl

drln

rcln

Rl Dk

drkl

drkl

Dk Mj

mdjk

mdjk

Si

smij

smij

ec CtqCtqCtqCtqw ,,,,,,,,  

           ⎟⎟⎠

⎞⎜⎜⎝

⎛++++ ∑ ∑∑∑∑∑ ∑∑

∈ ∈ ∈∈ ∈∈ ∈∈Mj Cn Rl

rcln

rcln

Rl Dk

drkl

drkl

Dk Mj

mdjk

mdjk

Si

smij

smij

en CeqCeqCeqCeqw ,,,,,,,,  

⎟⎟⎠

⎞⎜⎜⎝

⎛++++ ∑ ∑∑∑∑∑ ∑∑

∈ ∈ ∈∈ ∈∈ ∈∈Mj Cn Rl

mdln

rcln

Rl Dk

mdkl

drkl

Dk Mj

mdjk

mdjk

Si

smij

smij

so CsqCsqCsqCsqw ,,,,,,,,

Subject to

iCpsxq i

si

Mj

smij ∀≤∑

,, (6.2)

jCpmxq jmj

Dk

mdjk ∀≤∑

,, (6.3)

kCpdxq kdk

Rl

drkl ∀≤∑

,, (6.4)

lCprxq lrl

Cn

rcln ∀≤∑

,, (6.5)

jqqDk

mdjk

Si

smij ∀= ∑∑

∈∈

,,, (6.6)

kqqRl

drkl

Mj

mdjk ∀= ∑∑

∈∈

,,, (6.7)

lqqCn

rcln

Dk

drkl ∀= ∑∑

∈∈

,,, (6.8)

nDemq nRl

rcln ∀=∑

,, (6.9)

NsxSi

si ≤∑

(6.10)

NmxMj

mj ≤∑

(6.11)

NdxDk

dk ≤∑

(6.12)

NrxRl

rl ≤∑

(6.13)

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{ } { } { } { } nlkjixxxx rl

dk

mj

si ,,,,,1,0,1,0,1,0,1,0 ∀∈∈∈∈

      nlkjiqqqq rcln

drkl

mdjk

smij ,,,,,0,0,0,0 ,,,, ∀≥≥≥≥

It can be seen in objective function (6.1) that different costs are weighted according

to the category they belong to ( ecw ,enw , and sow ).

 The constraints from (6.2) to (6.5) represent the capacity constraints for the different

facilities. These constraints ensure that the total order quantities/allocations to meet

buyers demands should be less than the supply capacities of respective facilities at

different stages of supply chain.

 Constraints (6.6) - (6.8) are the balancing constraints for material flow at different

facilities of the supply chain. These constraints imply that the quantity of inflow of

materials at any facility is equal to its outflow.

Constraint (6.9) ensures the demand satisfaction constraint for the customer. It

implies that quantity of material supplied by the retailer should satisfy the demands from

customers/final clients in the market.

Constraints from (6.10) to (6.13) restrict the number of suppliers, manufacturers,

distributors, and retailers selected in the sustainable supply chain network design to the

maximum values available.

In our model there are four binary variables ( { } lkjixxxx rl

dk

mj

si ,,,,1,0,,, ∀∈ )

related to selection of suppliers, manufacturers, distributors, and retailers at different

stages of the supply chain. Besides, the variables for order quantity allocations for

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different facilities at various stages of the supply chain are non-negative and real in

nature, that is, nlkjiqqqq rcln

drkl

mdjk

smij ,,,,,0,,, ,,,, ≥  

It can be seen from above that our problem is a linear integer programming problem.

To solve the problem, we will use the AIMMS optimization software developed by

Paragon Decision Inc. The AIMMS software has an advanced development environment

for building and experimenting optimization algorithms. The latest version 3.11 of

AIMMS has three main components (Figure 6.2) [115]:

 

Figure 6.2: Introduction of AIMMS Components

1) Solvers, that allow you to solve both small and large scale mathematical

programming problems, such as linear programming (LP), nonlinear

programming (NLP), and mixed integer programming (MIP).

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2) Mathematical modeling language to build customized mathematical models

integrated with external DLLs, databases, API, and web-based applications.

3) Graphical user interface (GUIs) to help design easily understandable and

operational interfaces for mathematical models.

AIMMS has a very open and friendly on-line service for software download,

operation manual inquiry, license application, access to manuals etc. More details can be

found at AIMMS website (www.aimms.com).

6.4 Numerical Example

Let us consider a supply chain network comprising of 4-raw material supplier,

4-manufacturer, 3-distributor, 3-retailer, and 5-customer as shown in Figure 6.3. The

objective is to design a sustainable supply chain that satisfies the given customer

demands considering the economical, environmental, and social objectives.

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Figure 6.3: The Supply Chain Network for Numerical Example

The input data on transportation costs, social costs and environmental costs for each

stage of the supply chain has been presented in Tables 6.1 – 6.4. The weights associated

with the three objectives namely Eco: Env: Soc are equal to 0.493:0.118:0.388 (obtained

from SFD). The capacities of the different facilities and the customer demands are

presented in Table 6.5.

Table 6.1: Data Input for Stage One: Supplier – Manufacturer

Transportation Costi S1 S2 S3 S4 i S1 S2 S3 S4 i S1 S2 S3 S4

i j j j

S1 49613 M1 30 21 27 16 M1 19 12 11 18 M1 28 13 26 29

S2 21127 M2 22 19 28 19 M2 28 22 22 13 M2 10 21 26 28S3 44933 M3 16 16 23 13 M3 23 30 15 25 M3 14 15 28 12

S4 45660 M4 24 14 10 24 M4 22 15 18 15 M4 13 29 15 14

Facilitiy Cost Environmental Cost Social CostStage One: Raw Material Supplier -- Manufacturer

Input Data One

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Table 6.2: Data Input for Stage Two: Manufacture – Distributor

Transportation Costj M1 M2 M3 M4 j M1 M2 M3 M4 j M1 M2 M3 M4

j k k k

M1 46333 D1 11 26 15 12 D1 30 14 16 14 D1 12 13 30 28M2 29023 D2 20 29 19 26 D2 30 15 27 27 D2 16 27 21 29M3 41699 D3 19 22 15 17 D3 22 11 12 28 D3 27 22 19 11M4 16732

Input Data Two

Stage Two: Manufacturer -- Distribution CentorFacilitiy Cost Environmental Cost Social Cost

 

 

 

Table 6.3: Data Input for Stage Three: Distributor – Retailer

Transportation Costk D1 D2 D3 k D1 D2 D3 k D1 D2 D3

k l l l

D1 17624 R1 25 27 21 R1 25 13 27 R1 30 23 23

D2 10717 R2 10 14 21 R2 14 16 24 R2 22 11 20D3 49482 R3 12 17 19 R3 20 20 29 R3 19 14 21

Input Data Three

Stage Three: Distribution Centor -- Retailer

Facilitiy Cost Environmental Cost Social Cost

 

Table 6.4: Data Input for Stage Four: Retailer – Customer

Transportation Costl R1 R2 R3 l R1 R2 R3 l R1 R2 R3

l n n n

R1 42688 C1 28 14 14 C1 10 12 29 C1 14 14 30

R2 43094 C2 18 28 27 C2 14 22 23 C2 14 22 26R3 46456 C3 22 17 20 C3 15 14 28 C3 18 16 29

C4 16 18 21 C4 26 24 25 C4 19 24 26C5 17 11 24 C5 23 13 11 C5 26 23 22

Stage Four: Retailer -- CustomerFacilitiy Cost Environmental Cost Social Cost

Input Data Four

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Table 6.5: Facility Capacities and Customer Demands

nC1 500 i j k lC2 1200 S1 3000 M1 8000 D1 9000 R1 6000C3 2000 S2 1400 M2 5000 D2 10000 R2 3000C4 800 S3 3809 M3 2000 D3 15000 R3 5000C5 1600 S4 4000 M4 7000

Demands from CustomerRaw Material Supplier Manufacturer RetailerDistribution Center

Supply Capacity of Each Facility

 

The above input data and the supply chain network were fed into the AIMMS

software to run the SSCND model. Figure 6.4 demonstrates the results for our numerical

example. In the lower left corner in Figure 6.4, we find details on model type, solver, best

solution, running time etc. Other details such as variable statistics, constraint solution, etc

can also be found on the same screen.

 

Figure 6.4: Model results from AIMMS

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The solution details for the numerical example are presented in Figure 6.5. The

suppliers, manufacturers, distributors, retailers finally selected in the sustainable network

design have a ‘1” in the column called “value”. The order quantities allocated to them can

also be seen in the same column towards the bottom. The final solution has been

graphically represented in Figure 6.6.

 

Figure 6.5: Variable Values for the SSCND Numerical Example

It can be seen in Figure 6.6 that two suppliers (S3, S4), one manufacturer (M4), one

distributor (D1), and two retailers (R2, R3) are finally chosen to meet an overall customer

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demand of 6100. The numbers in dark represent the capacities of the respective facilities

whereas the numbers in light color represent the order quantities allocated to them. It can

be seen that capacities and demand constraints are respected at each stage of the supply

chain.

   

   

 

 

 

 

 

 

   

  

 

 

 

 

 

 

Figure 6.6: The Topology of SSCN for the Numerical Example

Table 6.6: Costs Distribution of SSCND for Numerical Example

×0.493 ×0.118 ×0.388

The Total Costs56582846318 198504

The Costs:

The Weight Used:

Economical Costs Environmental Costs

AIMMS Outputs

Social CostsAIMMS Optimal Results: 281046

Table 6.6 presents the results for the objective function or total costs incurred in

designing the sustainable supply chain network. The overall costs are 565828 out of

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which 281046 is attributed to Economic category, 46318 to the environmental category

and 198504 to the social category.

6.5 Scenario Analysis

To verify the model results, we conducted scenario analysis. These scenarios are

related to change in weights of socio-economic-environmental objectives, change in

supply capacities of facilities and demands of customers and change in the size of the

supply chain network. The details of the different scenarios along with the results

obtained are presented as follows:

6.5.1 Scenario 1 (Change in Weights of Objective Functions)

The first scenario addresses the change in weights of social, economic and

environmental costs used in the objective function. From SFD, we obtained the weights

0.493:0.118:0.388 for the Economic:Environmental:Social category. The different weight

categories that will be addressed in the scenario analysis are shown in Table 6.7.

Table 6.7: Weights for Scenario Analysis

Test 1 0.6 0.2 0.2Test 2 0.2 0.6 0.2Test 3 0.2 0.2 0.6Test 4 0.333 0.333 0.333

ecw enw sow

It can be seen in Table 6.7 that there are four categories of tests. In Test 1, the

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economic costs have highest weight; in Test 2 the environmental costs have the highest

weight whereas in Test 3, the social costs have highest weight. In Test 4, all the three

costs have equal weights. The results for the different tests are presented as follows:

1. Test 1 (Weight ratio 0.6:0.2:0.2 (Eco:Env:Soc)).

The outputs from AIMMS for Test 1 scenario are shown in Figure 6.7. It can be seen

that suppliers S3 and S4, manufacturer M4, distributor D1, and retailers R2 and R3 are

finally selected.

 

Figure 6.7: Results of Test 1, Scenario 1

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Figure 6.8: The Topology of SSCN for Test 1, Scenario 1

The results are graphically represented in Figure 6.8. The order quantity allocations

for S3 and S4 are 3809 and 2291 respectively, manufacturer M4 is 6100, distributor D1 is

6100, and retailers R2 and R3 is 3000 and 3100 respectively. It can be seen that the

capacity constraints are satisfied at all stages of the supply chain.

The total cost or objective function value for the network design represented in

Figure 6.8 is shown in Table 6.8. The economical costs are 338144, environmental

costs are 80405 and social costs are 104022 making a total cost of 522571.

Table 6.8: Costs Distribution for Test 1, Scenario 1

×0.6 ×0.2 ×0.280405AIMMS Optimal Results: 338144

AIMMS Outputs

The Costs: Economical Costs Environmental Costs Social Costs The Total Costs104022 522571

The Weight Used:  

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2. Test 2 (weight ratio 0.2:0.6:0.2 (Eco:Env:Soc)).

The outputs from AIMMS for Test 2 scenario are shown in the Figure 6.9. It can be

seen that suppliers S3 and S4, manufacturer M4, distributor D1, and retailers R2 and R3

are finally selected.

 

Figure 6.9: Results for Test 2, Scenario 1

The results are graphically represented in Figure 6.9. The order quantity allocations

for S3 and S4 are 3809 and 2291 respectively, manufacturer M4 is 6100, distributor D1 is

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6100, and retailers R2 and R3 is 3000 and 3100 respectively. It can be seen that the

capacity constraints are satisfied at all stages of the supply chain.

   

   

 

 

 

 

 

 

   

  

 

 

 

 

 

 

Figure 6.10: The Topology of SSCN for Test 2, Scenario 1

The total cost or objective function value for the network design represented in

Figure 6.10 is shown in Table 6.9. The economical costs are 115015, environmental costs

are 234616 and social costs are 102022 making a total cost of 451653.

Table 6.9: Costs Distribution for Test 2, Scenario 1

×0.2 ×0.6 ×0.2AIMMS Optimal Results: 115015 234616 102022 451653The Weight Used:

AIMMS Outputs

The Costs: Economical Costs Environmental Costs Social Costs The Total Costs

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3. Test 3 (Weight ratio 0.2:0.2:0.6 (Eco:Env:Soc)).

The outputs from AIMMS for the Test 3 are presented in Figure 6.11. It can be seen

that suppliers S3 and S4, manufacturer M4, distributor D3, and retailers R1 and R2 are

finally selected.

 

Figure 6.11: Results for Test 3, Scenario 1

The results are graphically represented in Figure 6.11. The order quantity allocations

for S3 and S4 are 3809 and 2291 respectively, manufacturer M4 is 6100, distributor D3 is

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6100, and retailers R1 and R2 is 3100 and 3000 respectively. It can be seen that the

capacity constraints are satisfied at all stages of the supply chain.

   

   

 

 

 

 

 

 

   

  

 

 

 

 

 

 

Figure 6.12: The Topology of SSCN for Test 3, Scenario 1

The total cost or objective function value for the network design represented in

Figure 6.12 is shown in Table 6.10. The economical costs are 134093, environmental

costs are 104285 and social costs are 237965 making a total cost of 476343.

Table 6.10: Costs Distribution for Test 3, Scenario 1

×0.2 ×0.2 ×0.6AIMMS Optimal Results: 134093 104285 237965 476343The Weight Used:

AIMMS Outputs

The Costs: Economical Costs Environmental Costs Social Costs The Total Costs

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Table 6.11 presents the differences in results obtained for Test 2 and Test 3. It can be

seen that the distributors and retailers differ across the two scenarios whereas the

manufacturers and the suppliers remain the same.

Table 6.11: Order Allocation and SSCND for Test 2 and Test 3, Scenario 1

Supplier Buyer Quantity Supplier Buyer Quantity Supplier Buyer Quantity Supplier Buyer Quantity

Test 2: S3 M4 3809 M4 D1 6100 D1 R2 3000 R2 C1 500S4 M4 2291 D1 R3 3100 R2 C3 2000

R2 C4 500

R3 C2 1200R3 C4 300R3 C5 1600

Test 3: S3 M4 3809 M4 D3 6100 D3 R1 3100 R1 C1 500

S4 M4 2291 D3 R2 3000 R1 C2 1200R1 C3 600

R1 C4 800

R2 C3 1400R2 C5 1600

Stage One Stage Two Stage Three Stage Four

4. Test 4 (Weight ratio 0.333:0.333:0.333 (Eco:Env:Soc)).

In this scenario weight of economical costs, environmental costs, and social costs are

the same (=0.333). The outputs from AIMMS for scenario Test 4 are presented in Figure

6.13. It can be seen that suppliers S3 and S4, manufacturer M4, distributor D1, and

retailers R2 and R3 are finally selected.

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Figure 6.13: Results of the SSCND for Test 4, Scenario 1

The results are graphically represented in Figure 6.14. The order quantity allocations

for S3 and S4 are 3809 and 2291 respectively, manufacturer M4 is 6100, distributor D1is

6100, and retailers R2 and R3 is 3000 and 3100 respectively. It can be seen that the

capacity constraints are satisfied at all stages of the supply chain.

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Figure 6.14: The Topology of SSCN for Test 4, Scenario 1

The total cost or objective function value for the network design represented in

Figure 6.14 is shown in Table 6.12. The economical costs are 1898343, environmental

costs are 130711 and social costs are 170366 making a total cost of 490912.

Table 6.12: Costs Distribution for Test 4, Scenario 1

×0.2 ×0.2 ×0.6AIMMS Optimal Results: 189834 130711 170366 490912The Weight Used:

AIMMS Outputs

The Costs: Economical Costs Environmental Costs Social Costs The Total Costs

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6.5.2 Scenario 2 (Change in Supply Capacities and Customer Demands)

Firstly, we will consider the case of change in facility capacities on network design

(Test 1). Secondly, we will consider the case of change in customer demands on network

design (Test 2). Table 6.13 presents the new supply capacity of each facility. It is different

from the one shown in Table 6.5.

Table 6.13: New Capacities for supply chain facilities

i j k l

S1 2189 M1 2400 D1 4200 R1 3250

S2 798 M2 4800 D2 5689 R2 2890

S3 1657 M3 3780 D3 7650 R3 4876S4 3800 M4 7000

Supply Capacity of Each FacilityRaw Material Supplier Manufacturer Distribution Center Retailer

Figure 6.15 shows the results calculated by AIMMS under the new capacities of the

facilities. It can be seen that suppliers S2, S3 and S4, manufacturers M3 and M4,

distributor D1 and D2, and retailers R2 and R3 are finally selected.

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Figure 6.15: Outputs for Test 1, Scenario 2

The results are graphically represented in Figure 6.16. The order quantity allocations

for S2, S3 and S4 are 643, 1657 and 3800 respectively, manufacturers M3 and M4 is

3780 and 2320, distributors D1 and D2 is 3210 and 2890, and retailers R2 and R3 is 2890

and 3210 respectively. It can be seen that the capacity constraints are satisfied at all

stages of the supply chain.

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Figure 6.16: The Topology of SSCN for Test 1, Scenario 2

The total cost or objective function value for the network design represented in

Figure 6.15 is shown in Table 6.14. The economical costs are 326289, environmental

costs are 55394 and social costs are 178814 making a total cost of 560498.

Table 6.14: Costs Distribution for Test 1, Scenario 2

×0.493 ×0.118 ×0.388AIMMS Optimal Results: 326289 55394 178814 560498The Weight Used:

AIMMS Outputs

The Costs: Economical Costs Environmental Costs Social Costs The Total Costs

Now, we will consider the case of change in customer demands on network design

(Test 2). Table 6.15 presents the new set of customer demands. Figure 6.17 and Figure

6.18 show the outputs and the topology of SSCN.

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Table 6.15: Varying the Demand Data with the Numerical Example to Test the Model

n

C1 400C2 850

C3 1680

C4 2500

C5 1980

Demands from Customer

 

 

 

Figure 6.17: Outputs for Test 2, Scenario 2

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  Figure 6.17 shows the results calculated by AIMMS under the new customer

demands. It can be seen that suppliers S1, S3 and S4, manufacturers M3 and M4,

distributor D1 and D2, and retailers R2 and R3 are finally selected. The results are

graphically represented in Figure 6.18. The order quantity allocations for S1, S3 and S4

are 1953, 1657 and 20 respectively to manufacture M4. The raw material supplier S4

supplies 3780 units of product to M3. In second stage, manufacturer M3 supplies 570 to

D1 and 3210 for D2. Manufacturer M4 supplies 3630 to distributor D1. Distributors D1

and D2 allocate total 4520 to retailer R3, and D2 supplies 2890 to R2. It can be seen that

the capacity constraints are satisfied at all stages of the supply chain.

   

   

 

 

 

 

 

 

   

  

 

 

 

 

 

 

Figure 6.18: The Topology of SSCN for Test 2, Scenario 2

The total cost or objective function value for the network design represented in

Figure 6.18 is shown in Table 6.16. The economical costs are 387296, environmental

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costs are 68984 and social costs are 218077 making a total cost of 674357.

Table 6.16: Costs Distribution for Test 2, Scenario2

×0.493 ×0.118 ×0.388The Weight Used:

AIMMS Outputs

The Costs: Economical Costs Environmental Costs Social Costs The Total CostsAIMMS Optimal Results: 387296 68984 218077 674357

Based on the results of these two scenarios, we can say that the network design and

associated order quantity allocations are different whenever a change in capacity or

demand occurs.

6.5.3 Scenario 3 (Change in Size of the Supply Chain Network)

 

Table 6.17: Model results for Test 1-5, Scenario 3 

Test 1 (Remove S3, S4)

Test 2(Remove M3, M4)

Test 3(Remove D2, D3)

Test 4(Remove R1, R2)

Test 5(Remove C1, C2)

CustomerRetailerDistributorManufacturerSupplier

382903 0.02s

Time to getthe results

Total CostNetwork Design

4 4 3 3 3 S2,S3,M4,D1,R2,R3

525868 0.02s

4 4 3 1 5 Infeasible N/A -

4 4 1 3 5 S3,S4,M4,D1,R2,R3

N/A -

4 2 3 3 5 S2,S3,S4,M1,D1,R2,R3 554756 0.02s

2 4 3 3 5 Infeasible

Table 6.17 shows the details of the different network sizes used for testing in

scenario 4. The different network sizes are obtained by changing the number of suppliers,

manufacturers, distributors, retailers, customers etc. A total of five scenarios are

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considered. The results generated from AIMMS for each of the test scenario is presented

in last three columns of Table 6.17.

It can be seen from results of Table 6.17 that the network design becomes infeasible

whenever demand and capacity constraints are violated (Test 1 and Test 4). For Test 2 and

Test 5, we observe a change in the network design and associated costs when compared

to original network design (Figure 6.6). For Test 3, the network design remains same as

in Figure 6.6; however, the total costs are different. Therefore, based on the results of

scenario “change in network size”, we can verify the correctness of results of our model

and sensitivity to input parameters in designing sustainable supply chain networks.

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Chapter 7

7 Conclusions and Future Work

7.1 Summary

In this thesis, we propose a mathematical programming based modeling framework

for designing sustainable supply chain networks considering the economical,

environmental and social objectives. Applying the method of systematical literature

review, the research collects and analyzes the state-and-the-art publications about green

supply chain management and sustainable supply chain management to investigate the

definitions, applications, research methods, drivers and barriers about GSCM and SSCM.

It was found during the literature study that most of the models on sustainable supply

chains are more concerned with minimizing the costs for economical and environmental

side, and social requirements are rarely integrated in the SSCND models. Considering the

shortage of studies in this direction, we pursued the goal of developing a modeling

framework for sustainable supply chain design considering the three dimension of

“sustainability” namely social, economic and environmental.

The proposed framework comprises of three steps. In the first step, we identify the

customer requirements (also called listening to Voice of the Customer (VOC)), technical

requirements, and metrics for measuring the performance of sustainable supply chains

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using Systematic Literature Review and Questionnaire Surveys C-REQ and T-REQ. In

the second step, we investigate the customer requirements and technical requirements,

study their relationship and allocate weights using Priority Matrix and Sustainable

Function Deployment (SFD). In the third and the last step, we develop an integer

programming model for designing sustainable supply chain network in AIMMS using the

weighted technical requirements and network modeling parameters.

7.2 SWOT Analysis

Figure 7.1 presents a SWOT (Strengths, Weaknesses, Opportunities and Threats)

analysis of the research work pursued in this thesis.

 

Figure 7.1: Thesis SWOT Analysis

The strengths of our work are the novelty of approaches used in SSCND. In our

knowledge, this is the first work that integrates a multitude of techniques such as

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Systematic literature review, C-REQ and T-REQ surveys, Priority Analysis, Sustainable

Functional Deployment, and Mathematical programming based model for SSCND. The

weakness of our model is lack of real data, limited number of participants, lack of focus

on a specific supply chain sector, and consideration of only limited number of variables

extracted from systematic literature review. These weaknesses open opportunities for

improvement in these areas in future and integration of new features such as operational

level planning, software development, and practical application under realistic test

scenarios. The threats to our model are existence of other model categories, other

mathematical models, and inclusion of more modeling variables; however, they are not

yet many in number.

7.3 The Future Research

From the SWOT analysis, many opportunities emerge that can be pursued as future

works in the field of sustainable supply chain network design. First, application of the

proposed SSCND model on practical problems can be done and results be verified and

validated under real conditions. Secondly, integration of more operational details,

allocation of different weights for socio-economic-environmental dimensions at various

stages of the supply chain, survey studies with increased number of participants can be

done. Last but not the least, the proposed modeling framework can be used to develop an

integrated modeling software for decision makers at strategic levels in supply chains for

designing sustainable supply chain networks. Therefore, as future works, efforts can be

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directed towards planning and execution of the proposed research activities for

developing sustainable supply chain networks.

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105. Walker, H., L. Di Sisto, and D. McBain, Drivers and barriers to environmental supply chain management practices: Lessons from the public and private sectors. Journal of Purchasing and Supply Management, 2008. 14(1): p. 69-85.

106. Mizuno, S. and Y. Akao, QFD: The Customer-Driven Approach to Quality Planning and Development. 2001, Tokyo, Japan: Asian Productivity Organization.

107. Foster, S.T., Managing quality: integrating the supply chain. Fourth ed. 2009, Upper Saddle River, New Jersey, USA: Pearson Education, Inc.

108. Katz, G.M., The “One Right Way” to Gather the Voice of the Customer, in PDMA Visions Magazine. 2001.

109. Urban, G.L. and J.R. Hauser, “Listening In” to Find Unmet Customer Needs and Solutions. Journal of Marketing, 2004. 68: p. 72-87.

110. Griffin, A. and J.R. Hauser, The Voice of the Customer. Marketing Science, 1993. 12(1): p. 1-27.

111. Simester, D.I., et al., Implementing Quality Improvement Programs Designed to Enhance Customer Satisfaction: Quasi-experiments in the United States and Spain. Journal of Marketing Research, 2000. 37(1): p. 102-112.

112. Baccarini, D. and R. Archer, The risk ranking of projects: a methodology. International Journal of Project Management, 2001. 19(3): p. 139-145.

113. Schwalbe, K., Information Technology Project Management. Sixth ed. 2009, Boston, MA, USA: Course Technology.

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114. Froot, K.A. and J.C. Stein, Risk management, capital budgeting, and capital structure policy for financial institutions: An integrated approach. Journal of Financial Economics, 1998. 47(1): p. 55-82.

115. Technology, P.D. AIMMS Solution Components Overview. [cited 2011 February 6]; Available from: http://www.aimms.com/features/overview.

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Appendix A

Customer Requirements Survey for Sustainable Supply Chain

Management (C-REQ)

This questionnaire intends to collect the customer requirements for sustainable supply chain management.   

Questions can have multiple answers. Please  feel  free to ask surveyor(s)  if you need more  information 

about anything on the questions.  

1. Please indicate your status? 

□  Student    □  Faculty  □  Researcher    □  Full time worker 

 

2. Please indicate your managerial position if you are a full time employee? 

□  Junior manager  □  Team leader  □  Project manager □  Senior manager  □  VIP  □  CEO 

 

3. Which stage of supply chain are you associated with? 

□  Material Supply      □  Manufacturing/Production     □  Distribution/Logistics   

□  Whole Seller/Retail    □  Customer Service/Marketing 

 

4. Which category of “Customer” you belong to? 

□  Clients of business  □  Clients of products/services  □  Internal employees 

□  Business partners   □  All the stakeholders related your work or business 

 

5. What should be included in “Performance” based on your work or business? 

□  Clients satisfy the products/services  □  Stakeholders satisfy processes/results of work/business 

□  Employees satisfy the benefits    □  Employees satisfy the work environment 

 

6. Do you have customers in your work? How do they feel about your products/services? 

□  No 

□  Yes 

      □  No feedbacks  □  More complaints    □  Satisfied    □  Good comments 

 

7. Does satisfaction of customer requirements impacts your work performance? 

□  No impact      □  Somewhat impact  □  Impact          □  Remarkable impact 

 

8. Do you think that all customer requirements should be satisfied and best fulfilled at the same time? 

□  All should be considered at same time   □  All should be considered but not the same time 

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□  Not all to be considered at same time    □  Not all to be considered and not the same time 

 

9. Do you think it is feasible and valuable to respond to every customer requirement with your efforts? 

□  Not feasible but valuable        □  Feasible but not valuable 

□  Feasible and valuable          □  Not feasible and also Not valuable 

 

10. Please mark the most important factors related to the performance of your work/business. In addition, 

please  indicate  the  level  to each  factor based on  their  influence on  the  total performance of your 

work/business, and how much efforts should be devoted to accomplish them. 

 

                Impact on Total Performance          Effort to be Devoted 

□  High employee benefits      1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Consumer safety          1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Competitive advantage      1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Best returns on investing      1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Efficient communication      1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Consumer health         1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Good to be a leader        1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Good in public benefits      1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Effective work processes      1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Compliance in product       1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Good for globalization        1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Legislation compliance       1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Human rights protection      1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Best in service          1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Good for collaboration       1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Good in public safety        1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Least work pressures        1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Least costs on product       1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Least operation costs        1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Good for public health       1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Safe in work environment      1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

□  Good for social diversity      1 2 3 4 5 6 7 8 9 10        1 2 3 4 5 6 7 8 9 10 

 

 

 

 

Thank you for your time and responses. 

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Appendix B

Technical Requirements Survey for Sustainable Supply Chain

Management (T-REQ)

The  purpose  of  this  survey  is  to  collect  the  responses  from managerial  and  technical  people  on most 

important  technical  requirements  for  sustainable  supply  chain management  (SSCM),  the  relationships 

between  customer  requirements  and  technical  requirements,  and assessing  correlation between  them. 

Please feel free to ask surveyor(s) if you need more information about anything on the questions.  

1. Please indicate your professional level? 

□  Supply chain manager □  Senior manager in a supply chain  □  Researcher in supply chains 

 

2. Which stage are you involved in the supply chain? 

□  Material Supply      □  Manufacturing/Production     □  Distribution/Logistics   

□  Whole Seller/Retail    □  Customer Service/Marketing 

 

3. Please mark your expectations and perceptions  for  the  following technical requirements associated 

with sustainable supply chain management.   

DEFINITIONS: 

Technical Requirements:   stands for what kind of methods/activities should be conducted to   

            satisfy the customer requirements in order to improve the performance of 

            SSCM. 

Customer Requirements:  stand for what kind of results or characteristics should be achieved in order 

to fulfill the customer needs and improve the performance of SSCM. 

Expectation Degree:    stands for your expectations for a relevant technical requirement     

            in improving the performance of SSCM. 

Perception Degree:  stands for a judgment based on your personal experiences about a relevant 

technical requirement on improving the performance of SSCM. 

 

 

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Technical Requirements Influencing on the Performance of SSCM 

Technical Requirements              Expectation Degree        Perception Degree 

 □ Costs and expenses control                            1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 Reach the high business profitability□             1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 Widely apply □ new technology and integrated systems     1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 □ Efficient business process management, activity operations   1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 □ Apply the optimization techniques or methodologies in SCs   1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 □ Collaborative operations among facilities in SCs        1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 □ Good environment operation, such as pollution prevention   1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 High efforts □ in utilizing natural resources, such as mining    1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 High efforts □ in conserving natural resources         1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 □ Efforts in natural resource regeneration, such as reuse       1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 □ Effective energy utilization, such as use fossil/bio‐energy    1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 □ Efforts in planning and conducting environment policy    1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 High compliance in environment legislations□         1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 High satisfaction □ of customers and business partners in SCs   1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 High efforts to manage business trust and reputation□       1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 High □ efforts in the social equity, such as salary, work load    1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 High efforts □ in public benefits, such as training, welfare    1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 High efforts □ in culture protection, such as respect habits    1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 High□  efforts in business ethics and moral attempts      1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 □ Natural environment decides the performance of SSCM    1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 □ The politics satisfaction decides the performance of SSCM    1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 □ The religion situation decides the performance of SSCM    1 2 3 4 5 6 7 8 9 10       1 2 3 4 5 6 7 8 9 10 

 

4. Please to indicate the relationships between the technical requirements? 

SYMBOL: 

• means there is a strong positive relationships between those two technical requirements

ο means there is an obvious positive relationships between those two technical requirements

Δ means there is a weak positive relationships between those two technical requirements

× means there is a weak negative relationships between those two technical requirements

⌧ means there is an obvious negative relationships between those two technical requirements

means there is a strong negative relationships between those two technical requirements 

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5. Please indicate the relationships between the customer requirements and the technical requirements. 

 SYMBOL: 

• means there is a strong association between the customer and technical requirements

ο means there is a somewhat association between the customer and technical requirements

Δ means there is a weak association between the customer and technical requirements

 

 

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Thank you for your time and responses.